There were almost 3,000 commits to the main branch in 2022! This wouldn't have been possible without the whole community: half the new architectures were added by external contributors and we had more than 500 new contributors.
@huggingface
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OpenAI Whisper Speech Recognition Model Added to Hugging Face
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In October, Whisper, a state-of-the-art audio model from @OpenAI for speech recognition was added to the library. https://
huggingface.co/docs/transform
ers/model_doc/whisper
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Transformers Named Most Loved Framework in Stack Overflow Survey
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For the second year, Transformers was voted the most loved framework in Stack Overflow survey https://
survey.stackoverflow.co/2022 -
LayoutLM v3 Multimodal Model Added for Document Analysis
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LayoutLM v3 (also from @MSFTResearch
) was added to the library in June. It is a multimodal model combining vision and text for document analysis. -
Meta AI Open-Sources OPT Language Model Series
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OPT was open-sourced by @MetaAI and added in the library last May. It is a series of open-sourced large causal language models similar in sizes to GPT3.
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BLOOM Multilingual Language Model Released by BigScience
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BLOOM was then released in June by @BigscienceW
. It is a similar series of model, though trained on 46 languages. https://
huggingface.co/docs/transform
ers/model_doc/bloom
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Swin Transformer Vision Model for Image Classification Detection
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Swin Transformer is a vision model from @MSFTResearch added back in January, which can be used as backbone for a variety of tasks such as image classification, object detection or semantic segmentation. https://
huggingface.co/docs/transform
ers/model_doc/swin
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Doubling AI Model Architectures: New Audio, Vision and Multimodal Models
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We doubled the number of architectures (89 to 167) with new models in audio, text, vision, multiple modalities or even time seriesand protein folding Here are a few highlights in the most used of those new models
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Transformers Library Triples Users, Reaches 1M Weekly Active
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It's been an exciting year for Transformers. We tripled the number of weekly active users over 2022, with over 1M users most weeks now and 300k daily pip installs on average
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Reinforcement Learning Benchmark and Workshop with Open-Source Tools
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Wonder what we're up to with reinforcement learning? We are excited to help enable this new benchmark and workshop, broadening how compute is re-used in RL with open-source tools and the Hub.