usage: huggingface-cli [<args>] download [-h] [--repo-type {model,dataset,space}] [--revision REVISION] [--include [INCLUDE ...]] [--exclude [EXCLUDE ...]] [--cache-dir CACHE_DIR] [--local-dir LOCAL_DIR] [--local-dir-use-symlinks {auto,True,False}] [--force...
(How to download model from huggingface?) https://huggingface.co/models 例如,我想下載“bert‑base‑uncased”,但找不到“下載”鏈接。請幫忙。還是不能下載? 參考解法 方法1: Accepted answer is good, but writing code to download model is not always convenient. It seems git works fine with get...
git clone https://github.com/xai-org/grok-1.git && cd grok-1 pip install huggingface_hub[hf_transfer] huggingface-cli download xai-org/grok-1 --repo-type model --include ckpt-0/* --local-dir checkpoints --local-dir-use-symlinks False It downloads with 8 concurrent threads (~2 Gbp...
printf "The repository requires authentication, but --hf_username and --hf_token is not passed.\nPlease get token from https://huggingface.co/settings/tokens.\nExiting.\n" echo $OUTPUT exit 1 fi REPO_URL="https://$HF_USERNAME:$HF_TOKEN@${HF_ENDPOINT#https://}/$MODEL_ID" elif [ $...
Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in Sign up Reseting focus {{ message }} huggingface / huggingface_hub Public Notifications You must be signed in to change notification settings Fork 554 Star 2.1k ...
i have used every method i can think of (noob to this)... i get error message - requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/api/models/stabilityai/tree/main ( i have permission to use model (api only maybe?) i have created sccess ...
How to download a HuggingFace model 'transformers.trainer.Trainer'? In 1 code., I have uploaded hugging face 'transformers.trainer.Trainer' based model using save_pretrained() function In 2nd code, I want to download this uploaded model and use it to make predictions. I need help in t...
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neox_model_name_to_use: saved_models_dir\EleutherAI_gpt-neox-20b doing model from_pretrained [e] Downloading: 0%| | 0.00/1.54k [00:00<?, ?B/s] [e] Downloading: 100%|###| 1.54k/1.54k [00:00<00:00, 1.54MB/s] [e] huggingface_hub\file_download.py:123: UserWarning: ...
Then you can load the model using thecache_dirkeyword argument: fromtransformersimportAutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M", cache_dir="huggingface_mirror", local_files_only=True) ...