Efficient few-shot learning with Sentence Transformers
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State-of-the-Art Embeddings, Retrieval, and Reranking
🤗 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.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
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