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Tokenizers💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
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PLBARTOfficial code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].
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Chars2vecCharacter-based word embeddings model based on RNN for handling real world texts
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SimCLRPytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
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classyclassy is a simple-to-use library for building high-performance Machine Learning models in NLP.
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Transfer NlpNLP library designed for reproducible experimentation management
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SimclrSimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
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Spacy Transformers🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
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Easy BertA Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)
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backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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CodeT5Code for CodeT5: a new code-aware pre-trained encoder-decoder model.
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label-studio-transformersLabel data using HuggingFace's transformers and automatically get a prediction service
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Reformer PytorchReformer, the efficient Transformer, in Pytorch
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text2textText2Text: Cross-lingual natural language processing and generation toolkit
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CogViewText-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
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