🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
May 21, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Natural Language Processing Tutorial for Deep Learning Researchers
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
《李宏毅深度学习教程》(李宏毅老师推荐👍),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
Google AI 2018 BERT pytorch implementation
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
This repository contains demos I made with the Transformers library by HuggingFace.
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Transformer related optimization, including BERT, GPT
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
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