2.1 Hugging Face 官方工具 使用Hugging Face 官方提供的 huggingface-cli 命令行工具。安装依赖: pip install -U huggingface_hub 然后新建 python 文件,填入以下代码,运行即可。 import os # 下载模型 os.system('huggingface-cli download --resume-download internlm/internlm-chat-7b --local-dir your_path')...
# Hub Model configuration. https://huggingface.co/models hub = { 'HF_MODEL_ID':'google/tapas-base-finetuned-wtq', 'HF_TASK':'table-question-answering' } # create Hugging Face Model Class huggingface_model = HuggingFaceModel( transformers_version='4.6.1', pytorch_version='1.7.1', py...
2. [CLI安装] 官方CLI下载 pip install -U huggingface_hub huggingface-cli download bigscience/bloom-560m --local-dir bloom-560m huggingface-cli download --repo-type dataset lavita/medical-qa-shared-task-v1-toy 3. [snapshot] 支持筛选下载 https://huggingface.co/docs/hub/how-to-downstream fro...
The Hugging Face Hub (https://huggingface.co/timm) is now the primary source fortimmweights. Model cards include link to papers, original source, license. Previous 0.6.x can be cloned from0.6.xbranch or installed via pip with version. Nov 23, 2023 Added EfficientViT-Large models, thanksSee...
运行install_env.bat安装需要的前后端环境(不要用魔法) 然后运行start.bat加载程序(前端端口3000后端8000) 第一次加载对话可能会比较慢,因为要从hugging-face hub下载bert 模型 如果下载失败可以手动下载模型到根目录/models/bert-base-Chinese,下载地址https://huggingface.co/google-bert/bert-base-chinese/tree/main...
Finally, we use our models directly from the Hugging Face Hub. Currently, it supports the following tasks: Image Classification Text Classification Token Classification Question Answering Translation Summarization Text Regression Tabular Data Classification Tabular Data Regression...
运行install_env.bat安装需要的前后端环境(不要用魔法) 然后运行start.bat加载程序(前端端口3000后端8000) 第一次加载对话可能会比较慢,因为要从hugging-face hub下载bert 模型 如果下载失败可以手动下载模型到根目录/models/bert-base-Chinese,下载地址https://huggingface.co/google-bert/bert-base-chinese/tree/main...