Skip to content

Bump the pip group across 23 directories with 2 updates - #535

Open
dependabot[bot] wants to merge 1 commit into
mainfrom
dependabot/pip/meta-llama-Meta-Llama-3-8B/RyzenAI/pip-6c85ca90dd
Open

Bump the pip group across 23 directories with 2 updates#535
dependabot[bot] wants to merge 1 commit into
mainfrom
dependabot/pip/meta-llama-Meta-Llama-3-8B/RyzenAI/pip-6c85ca90dd

Conversation

@dependabot

@dependabot dependabot Bot commented on behalf of github Jul 8, 2026 •
edited
Loading

Copy link
Copy Markdown
Contributor

Bumps the pip group with 2 updates in the /meta-llama-Meta-Llama-3-8B/RyzenAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /meta-llama-Meta-Llama-3-8B/VitisAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-3-mini-128k-instruct/RyzenAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-3-mini-128k-instruct/VitisAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-3-mini-4k-instruct/RyzenAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-3-mini-4k-instruct/VitisAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-3.5-mini-instruct/QNN directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-3.5-mini-instruct/RyzenAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-3.5-mini-instruct/VitisAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-4-mini-instruct/QAIRT directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-4-mini-instruct/RyzenAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-4-mini-instruct/VitisAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-4-mini-reasoning/RyzenAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-4-mini-reasoning/VitisAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-4-reasoning/QAIRT directory: onnx and transformers.
Bumps the pip group with 2 updates in the /microsoft-Phi-4-reasoning/QNN directory: onnx and transformers.
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-Instruct-v0.1/RyzenAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-Instruct-v0.2/RyzenAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-Instruct-v0.2/VitisAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-Instruct-v0.3/RyzenAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-Instruct-v0.3/VitisAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-v0.3/RyzenAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /sd-legacy-stable-diffusion-v1-5/VitisAI directory: onnx and transformers.

Updates onnx from 1.18.0 to 1.22.0

Release notes

Sourced from onnx's releases.

v1.22.0

ONNX v1.22.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

What's Changed

Breaking Changes and Deprecations

Spec and Operator

Two new operators LinearAttention-27 and CausalConvWithState-27 were introduced.

Reference Implementation

Utilities and Tools

Build, CI and Tests

... (truncated)

Commits

Updates transformers from 4.57.6 to 5.3.0

Release notes

Sourced from transformers's releases.

v5.1.0: EXAONE-MoE, PP-DocLayoutV3, Youtu-LLM, GLM-OCR

New Model additions

EXAONE-MoE

K-EXAONE is a large-scale multilingual language model developed by LG AI Research. Built using a Mixture-of-Experts architecture, K-EXAONE features 236 billion total parameters, with 23 billion active during inference. Performance evaluations across various benchmarks demonstrate that K-EXAONE excels in reasoning, agentic capabilities, general knowledge, multilingual understanding, and long-context processing.

PP-DocLayoutV3

PP-DocLayoutV3 is a unified and high-efficiency model designed for comprehensive layout analysis. It addresses the challenges of complex physical distortions—such as skewing, curving, and adverse lighting—by integrating instance segmentation and reading order prediction into a single, end-to-end framework.

Youtu-LLM

Youtu-LLM is a new, small, yet powerful LLM, contains only 1.96B parameters, supports 128k long context, and has native agentic talents. On general evaluations, Youtu-LLM significantly outperforms SOTA LLMs of similar size in terms of Commonsense, STEM, Coding and Long Context capabilities; in agent-related testing, Youtu-LLM surpasses larger-sized leaders and is truly capable of completing multiple end2end agent tasks.

GlmOcr

GLM-OCR is a multimodal OCR model for complex document understanding, built on the GLM-V encoder–decoder architecture. It introduces Multi-Token Prediction (MTP) loss and stable full-task reinforcement learning to improve training efficiency, recognition accuracy, and generalization. The model integrates the CogViT visual encoder pre-trained on large-scale image–text data, a lightweight cross-modal connector with efficient token downsampling, and a GLM-0.5B language decoder. Combined with a two-stage pipeline of layout analysis and parallel recognition based on PP-DocLayout-V3, GLM-OCR delivers robust and high-quality OCR performance across diverse document layouts.

Breaking changes

  • 🚨 T5Gemma2 model structure (#43633) - Makes sure that the attn implementation is set to all sub-configs. The config.encoder.text_config was not getting its attn set because we aren't passing it to PreTrainedModel.init. We can't change the model structure without breaking so I manually re-added a call to self.adjust_attn_implemetation in modeling code

  • 🚨 Generation cache preparation (#43679) - Refactors cache initialization in generation to ensure sliding window configurations are now properly respected. Previously, some models (like Afmoe) created caches without passing the model config, causing sliding window limits to be ignored. This is breaking because models with sliding window attention will now enforce their window size limits during generation, which may change generation behavior or require adjusting sequence lengths in existing code.

  • 🚨 Delete duplicate code in backbone utils (#43323) - This PR cleans up backbone utilities. Specifically, we have currently 5 different config attr to decide which backbone to load, most of which can be merged into one and seem redundant After this PR, we'll have only one config.backbone_config as a single source of truth. The models will load the backbone from_config and load pretrained weights only if the checkpoint has any weights saved. The overall idea is same as in other composite models. A few config arguments are removed as a result.

  • 🚨 Refactor DETR to updated standards (#41549) - standardizes the DETR model to be closer to other vision models in the library.

  • 🚨Fix floating-point precision in JanusImageProcessor resize (#43187) - replaces an int() with round(), expect light numerical differences

  • 🚨 Remove deprecated AnnotionFormat (#42983) - removes a missnamed class in favour of AnnotationFormat.

... (truncated)

Commits

Updates onnx from 1.18.0 to 1.22.0

Release notes

Sourced from onnx's releases.

v1.22.0

ONNX v1.22.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

What's Changed

Breaking Changes and Deprecations

Spec and Operator

Two new operators LinearAttention-27 and CausalConvWithState-27 were introduced.

Reference Implementation

Utilities and Tools

Build, CI and Tests

... (truncated)

Commits

Updates transformers from 4.50.0 to 5.3.0

Release notes

Sourced from transformers's releases.

v5.1.0: EXAONE-MoE, PP-DocLayoutV3, Youtu-LLM, GLM-OCR

New Model additions

EXAONE-MoE

K-EXAONE is a large-scale multilingual language model developed by LG AI Research. Built using a Mixture-of-Experts architecture, K-EXAONE features 236 billion total parameters, with 23 billion active during inference. Performance evaluations across various benchmarks demonstrate that K-EXAONE excels in reasoning, agentic capabilities, general knowledge, multilingual understanding, and long-context processing.

PP-DocLayoutV3

PP-DocLayoutV3 is a unified and high-efficiency model designed for comprehensive layout analysis. It addresses the challenges of complex physical distortions—such as skewing, curving, and adverse lighting—by integrating instance segmentation and reading order prediction into a single, end-to-end framework.

Youtu-LLM

Youtu-LLM is a new, small, yet powerful LLM, contains only 1.96B parameters, supports 128k long context, and has native agentic talents. On general evaluations, Youtu-LLM significantly outperforms SOTA LLMs of similar size in terms of Commonsense, STEM, Coding and Long Context capabilities; in agent-related testing, Youtu-LLM surpasses larger-sized leaders and is truly capable of completing multiple end2end agent tasks.

GlmOcr

GLM-OCR is a multimodal OCR model for complex document understanding, built on the GLM-V encoder–decoder architecture. It introduces Multi-Token Prediction (MTP) loss and stable full-task reinforcement learning to improve training efficiency, recognition accuracy, and generalization. The model integrates the CogViT visual encoder pre-trained on large-scale image–text data, a lightweight cross-modal connector with efficient token downsampling, and a GLM-0.5B language decoder. Combined with a two-stage pipeline of layout analysis and parallel recognition based on PP-DocLayout-V3, GLM-OCR delivers robust and high-quality OCR performance across diverse document layouts.

Breaking changes

  • 🚨 T5Gemma2 model structure (#43633) - Makes sure that the attn implementation is set to all sub-configs. The config.encoder.text_config was not getting its attn set because we aren't passing it to PreTrainedModel.init. We can't change the model structure without breaking so I manually re-added a call to self.adjust_attn_implemetation in modeling code

  • 🚨 Generation cache preparation (#43679) - Refactors cache initialization in generation to ensure sliding window configurations are now properly respected. Previously, some models (like Afmoe) created caches without passing the model config, causing sliding window limits to be ignored. This is breaking because models with sliding window attention will now enforce their window size limits during generation, which may change generation behavior or require adjusting sequence lengths in existing code.

  • 🚨 Delete duplicate code in backbone utils (#43323) - This PR cleans up backbone utilities. Specifically, we have currently 5 different config attr to decide which backbone to load, most of which can be merged into one and seem redundant After this PR, we'll have only one config.backbone_config as a single source of truth. The models will load the backbone from_config and load pretrained weights only if the checkpoint has any weights saved. The overall idea is same as in other composite models. A few config arguments are removed as a result.

  • 🚨 Refactor DETR to updated standards (#41549) - standardizes the DETR model to be closer to other vision models in the library.

  • 🚨Fix floating-point precision in JanusImageProcessor resize (#43187) - replaces an int() with round(), expect light numerical differences

  • 🚨 Remove deprecated AnnotionFormat (#42983) - removes a missnamed class in favour of AnnotationFormat.

... (truncated)

Commits

Updates onnx from 1.18.0 to 1.22.0

Release notes

Sourced from onnx's releases.

v1.22.0

ONNX v1.22.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

What's Changed

Breaking Changes and Deprecations

Spec and Operator

Two new operators LinearAttention-27 and CausalConvWithState-27 were introduced.

Reference Implementation

Utilities and Tools

Build, CI and Tests

... (truncated)

Commits

Updates transformers from 4.57.6 to 5.3.0

Release notes

Sourced from transformers's releases.

v5.1.0: EXAONE-MoE, PP-DocLayoutV3, Youtu-LLM, GLM-OCR

New Model additions

EXAONE-MoE

K-EXAONE is a large-scale multilingual language model developed by LG AI Research. Built using a Mixture-of-Experts architecture, K-EXAONE features 236 billion total parameters, with 23 billion active during inference. Performance evaluations across various benchmarks demonstrate that K-EXAONE excels in reasoning, agentic capabilities, general knowledge, multilingual understanding, and long-context processing.

PP-DocLayoutV3

PP-DocLayoutV3 is a unified and high-efficiency model designed for comprehensive layout analysis. It addresses the challenges of complex physical distortions—such as skewing, curving, and adverse lighting—by integrating instance segmentation and reading order prediction into a single, end-to-end framework.

Youtu-LLM

Youtu-LLM is a new, small, yet powerful LLM, contains only 1.96B parameters, supports 128k long context, and has native agentic talents. On general evaluations, Youtu-LLM significantly outperforms SOTA LLMs of similar size in terms of Commonsense, STEM, Coding and Long Context capabilities; in agent-related testing, Youtu-LLM surpasses larger-sized leaders and is truly capable of completing multiple end2end agent tasks.

GlmOcr

GLM-OCR is a multimodal OCR model for complex document understanding, built on the GLM-V encoder–decoder architecture. It introduces Multi-Token Prediction (MTP) loss and stable full-task reinforcement learning to improve training efficiency, recognition accuracy, and generalization. The model integrates the CogViT visual encoder pre-trained on large-scale image–text data, a lightweight cross-modal connector with efficient token downsampling, and a GLM-0.5B language decoder. Combined with a two-stage pipeline of layout analysis and parallel recognition based on PP-DocLayout-V3, GLM-OCR delivers robust and high-quality OCR performance across diverse document layouts.

Breaking changes

  • 🚨 T5Gemma2 model structure (#43633) - Makes sure that the attn implementation is set to all sub-configs. The config.encoder.text_config was not getting its attn set because we aren't passing it to PreTrainedModel.init. We can't change the model structure without breaking so I manually re-added a call to self.adjust_attn_implemetation in modeling code

  • 🚨 Generation cache preparation (#43679) - Refactors cache initialization in generation to ensure sliding window configurations are now properly respected. Previously, some models (like Afmoe) created caches without passing the model config, causing sliding window limits to be ignored. This is breaking because models with sliding window attention will now enforce their window size limits during generation, which may change generation behavior or require adjusting sequence lengths in existing code.

  • 🚨 Delete duplicate code in backbone utils (#43323) - This PR cleans up backbone utilities. Specifically, we have currently 5 different config attr to decide which backbone to load, most of which can be merged into one and seem redundant After this PR, we'll have only one config.backbone_config as a single source of truth. The models will load the backbone from_config and load pretrained weights only if the checkpoint has any weights saved. The overall idea is same as in other composite models. A few config arguments are removed as a result.

  • 🚨 Refactor DETR to updated standards (#41549) - standardizes the DETR model to be closer to other vision models in the library.

  • 🚨Fix floating-point precision in JanusImageProcessor resize (#43187) - replaces an int() with round(), expect light numerical differences

  • 🚨 Remove deprecated AnnotionFormat (#42983) - removes a missnamed class in favour of AnnotationFormat.

... (truncated)

Commits

Updates onnx from 1.18.0 to 1.22.0

Release notes

Sourced from onnx's releases.

v1.22.0

ONNX v1.22.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

What's Changed

Breaking Changes and Deprecations

Spec and Operator

Two new operators LinearAttention-27 and CausalConvWithState-27 were introduced.

Reference Implementation

@dependabot
Bump the pip group across 23 directories with 2 updates
bdf3281 
Bumps the pip group with 2 updates in the /meta-llama-Meta-Llama-3-8B/RyzenAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /meta-llama-Meta-Llama-3-8B/VitisAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-3-mini-128k-instruct/RyzenAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-3-mini-128k-instruct/VitisAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-3-mini-4k-instruct/RyzenAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-3-mini-4k-instruct/VitisAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-3.5-mini-instruct/QNN directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-3.5-mini-instruct/RyzenAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-3.5-mini-instruct/VitisAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-4-mini-instruct/QAIRT directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-4-mini-instruct/RyzenAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-4-mini-instruct/VitisAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-4-mini-reasoning/RyzenAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-4-mini-reasoning/VitisAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-4-reasoning/QAIRT directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /microsoft-Phi-4-reasoning/QNN directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-Instruct-v0.1/RyzenAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-Instruct-v0.2/RyzenAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-Instruct-v0.2/VitisAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-Instruct-v0.3/RyzenAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-Instruct-v0.3/VitisAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-v0.3/RyzenAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /sd-legacy-stable-diffusion-v1-5/VitisAI directory: [onnx](https://github.com/onnx/onnx) and [transformers](https://github.com/huggingface/transformers).


Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.57.6 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.50.0 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.57.6 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.50.0 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.57.6 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.50.0 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.19.1 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.57.3 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.57.6 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.50.0 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.17.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.46.0 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.57.6 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.50.0 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.57.6 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.50.0 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.16.1 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.51.1 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.19.1 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.57.3 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.57.6 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.57.6 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.50.0 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.57.6 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.50.0 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.18.0 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.57.6 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

Updates `onnx` from 1.20.1 to 1.22.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.18.0...v1.22.0)

Updates `transformers` from 4.56.2 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.6...v5.3.0)

---
updated-dependencies:
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
Copilot AI review requested due to automatic review settings July 8, 2026 02:08
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jul 8, 2026
Copilot AI reviewed Jul 8, 2026

Copilot AI left a comment

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Copilot can't review bot-authored pull requests automatically. A user with Copilot access can request a review manually.

This was referenced Jul 8, 2026
Closed
Closed
@dependabot @github

dependabot Bot commented on behalf of github Jul 20, 2026

Copy link
Copy Markdown
Contributor Author

Dependabot tried to update this pull request, but something went wrong. We're looking into it, but in the meantime you can retry the update by commenting @dependabot recreate.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

Copilot code review Copilot Copilot left review comments

At least 1 approving review is required to merge this pull request.

Assignees

No one assigned

Labels

dependencies Pull requests that update a dependency file python Pull requests that update python code

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

1 participant