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transformers - 🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX

  •    Python

🤗 Transformers provides thousands of pretrained models to perform tasks on texts such as classification, information extraction, question answering, summarization, translation, text generation and more in over 100 languages. Its aim is to make cutting-edge NLP easier to use for everyone. 🤗 Transformers provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with the community on our model hub. At the same time, each python module defining an architecture is fully standalone and can be modified to enable quick research experiments.

huggingface_hub - Client library to download and publish models and other files on the huggingface

  •    Python

This library allows anyone to work with the Hub repositories: you can clone them, create them and upload your models to them. On top of this, the library also offers methods to access information from the Hub. For example, listing all models that meet specific criteria or get all the files from a specific repo. You can find the library implementation here. We're partnering with cool open source ML libraries to provide free model hosting and versioning. You can find the existing integrations here.






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