有三种方式下载模型,一种是通过 huggingface model hub 的按钮下载,一种是使用 huggingface 的 transformers 库实例化模型进而将模型下载到缓存目录,另一种是通过 huggingface 的 huggingface_hub 工具进行下载。 huggingface 按钮下载 点击下图的下载按钮,把所有文件下载到一个目录即可。 transformers 实例化模型 import to...
模型不是很全,部分模型搜索不到;需要购买流量包; 3.2、用下载器model_donwload.py下载 1、github上下载aliendao 我发现直接Download ZIP比git clone https://github.com/git-cloner/aliendao.git还快一些。 2、cd 到该目录 3、创建conda环境 conda create --name aliendao python=3.11 切换环境 conda activate ...
from huggingface_hub import snapshot_download #需要登录的模型,还需要下面两行额外代码: #import huggingface_hub #huggingface_hub.login("HF_TOKEN") # token 从 https://huggingface.co/settings/tokens 获取 snapshot_download( repo_type = "dataset", # 'model', 'dataset', 'external_dataset', 'exte...
File “/home/ahnlab/GPT/text-generation-webui/download-model.py”, line 102, in get_download_links_from_huggingface r.raise_for_status() File “/home/ahnlab/miniconda3/envs/vicuna/lib/python3.11/site-packages/requests/models.py”, line 1021, in raise_for_status raise HTTPError(http_error_...
ERROR:pytorch_transformers.modeling_utils:Couldn't reach server at 'https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-config.json' to download pretrained model configuration file. ERROR:pytorch_transformers.modeling_u...
Client library to download and publish models and other files on the huggingface.co hub Do you have an open source ML library?We're looking to partner with a small number of other cool open source ML libraries to provide model hosting + versioning.https://twitter.com/julien_c/status/1336374...
someGPUlibraries.Please make sure the missing libraries mentioned above are installed properlyifyou would like to useGPU.Follow the guide at https://www.tensorflow.org/install/gpuforhow to download and setup the required librariesforyour platform.Skipping registeringGPUdevices...AllTF2.0model weights...
docker run -it -v /u01/isi/.cache/huggingface/hub/:/usr/local/bin/eland_import_hub_model --rm elastic/eland \ eland_import_hub_model \ --url http://elastic:123123@10.99.100.49:9200 \ --hub-model-id sentence-transformers/clip-ViT-B-32-multilingual-v1 \ ...
Run the exported model using ONNX Runtime TensorFlow Lite Accelerated training Habana ONNX Runtime Quanto Hugging Face Optimum 🤗 Optimum is an extension of 🤗 Transformers and Diffusers, providing a set of optimization tools enabling maximum efficiency to train and run models on targeted hardware...
If you are interested in how to package the base image, you can continue to read this chapter. If you only care about how to run the model quickly, you can directly read the next chapter. Closer to home, for the following three reasons,I recommend that students who want to quickly repr...