| huggingface/transformers |
119,240 |
|
64 |
2,484 |
about 2 years ago |
125 |
November 15, 2023 |
946 |
apache-2.0 |
Python |
| 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. |
| QwenLM/Qwen |
20,293 |
|
0 |
0 |
2 months ago |
0 |
|
139 |
apache-2.0 |
Python |
| The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud. |
| microsoft/unilm |
16,971 |
|
0 |
0 |
about 2 years ago |
0 |
|
517 |
mit |
Python |
| Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities |
| PaddlePaddle/PaddleNLP |
10,908 |
|
0 |
19 |
about 2 years ago |
87 |
September 14, 2023 |
891 |
apache-2.0 |
Python |
| 👑 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. |
| bigscience-workshop/petals |
8,040 |
|
0 |
1 |
over 2 years ago |
18 |
November 20, 2023 |
76 |
mit |
Python |
| 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading |
| microsoft/nlp-recipes |
6,280 |
|
0 |
0 |
over 3 years ago |
0 |
|
67 |
mit |
Python |
| Natural Language Processing Best Practices & Examples |
| thunlp/OpenPrompt |
4,006 |
|
0 |
2 |
about 2 years ago |
5 |
July 06, 2022 |
84 |
apache-2.0 |
Python |
| An Open-Source Framework for Prompt-Learning. |
| lonePatient/awesome-pretrained-chinese-nlp-models |
3,738 |
|
0 |
0 |
about 2 years ago |
0 |
|
1 |
mit |
Python |
| Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合 |
| huggingface/huggingface_hub |
3,297 |
|
0 |
552 |
2 months ago |
89 |
November 16, 2023 |
115 |
apache-2.0 |
Python |
| The official Python client for the Hugging Face Hub. |
| OFA-Sys/Chinese-CLIP |
2,816 |
|
0 |
1 |
over 2 years ago |
9 |
January 13, 2023 |
57 |
mit |
Python |
| Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation. |
