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一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算
The main features of terrifyzhao/bert-utils are: Natural Language Processing, Pre-trained Language Models.
Projects with overlapping indexed features include: codertimo/bert-pytorch. nlpscott/bert-chinese-classification-task — bert中文分类实践. asyml/texar — Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the… facebookresearch/xlm — PyTorch original implementation of Cross-lingual Language Model Pretraining. huggingface/transformers — Transformers is a comprehensive library for machine learning that provides a unified interface for training,… openbmb/bmlist — A List of Big Models.
PyTorch original implementation of Cross-lingual Language Model Pretraining.
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
Transformers is a comprehensive library for machine learning that provides a unified interface for training, fine-tuning, and deploying transformer-based models. It supports a wide range of tasks, including text classification, language modeling, question answering, and sequence-to-sequence translation, while offering specialized architectures for both text and vision processing. The framework includes tools for managing the entire model lifecycle, from data preprocessing and tokenization to distributed training and inference. The library features extensive support for model optimization and
