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馃浉 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
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State-of-the-Art Embeddings, Retrieval, and Reranking
馃 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
馃挮 Industrial-strength Natural Language Processing (NLP) in Python
A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 馃洜
Models, data loaders and abstractions for language processing, powered by PyTorch
A library for mechanistic interpretability of GPT-style language models
