transformers

huggingface/transformers

Hugging Face Standard Library for Pretrained Multimodal Modelsready

Transformers is Hugging Face's core Python library that unifies the definition and usage of text, image, audio, video, and multimodal models. It is used by researchers, ML engineers, and application developers to load pretrained models and integrate them into training, inference, and serving pipelines. Releases of this package directly impact new model support, API compatibility, and integration stability with PyTorch/JAX/TF and various inference and training ecosystems.

machine-learningnlpcomputer-visionmultimodalpretrained-modelshuggingface

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5.21.12w ago

huggingface/transformers Patch release v5.21.1

Original

Key point

This patch release fixes a rope_scaling configuration error that was breaking vLLM remote code loading.

Details

Bug fix: Fixed an issue where a misbehaving setter in the configuration that assigns rope_scaling during initialization was breaking vLLM remote code loading.

transformers releases | AI Briefing