Can't get access ?
Hi there,
I keep getting the following error: "ake sure to have access to it at https://huggingface.co/mistralai/Mistral-7B-v0.3.
401 Client Error. (Request ID: Root=1-6658e5e2-05bd75c1701271906ae23397;ed8fcac2-672c-4af1-9a3f-8969e0306e58)
Cannot access gated repo for url https://huggingface.co/mistralai/Mistral-7B-v0.3/resolve/main/config.json.
Access to model mistralai/Mistral-7B-v0.3 is restricted. You must be authenticated to access it.
Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings..."
Is anyone familiar with this issue ? Cheers,
Rome
I am a newbie too and I still cannot download some models, even though it shows "You have been granted access to this model" on some of the repos. Anyway, I got access to some of the models in these steps:
(1) signing in your hugging face account in the terminal.
(2) In the account settings - access tokens - Repositories permissions, select those models I want to download.
#xuzhe118
this seemed to work for me,
Appreciate the reply !
(1) signing in your hugging face account in the terminal.
huggingface-cli login
Enter your token
Home page to get authorization
(base) qihao@qihao-B760M-DS3H:~/Ai$ huggingface-cli login
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To login, `huggingface_hub` requires a token generated from https://huggingface.co/settings/tokens .
Enter your token (input will not be visible):
Add token as git credential? (Y/n) y
app.py
from huggingface_hub import snapshot_download
from pathlib import Path
mistral_models_path = Path.home().joinpath('mistral_models', '7B-v0.3')
mistral_models_path.mkdir(parents=True, exist_ok=True)
snapshot_download(repo_id="mistralai/Mistral-7B-v0.3", use_auth_token=True,
allow_patterns=["params.json", "consolidated.safetensors", "tokenizer.model.v3"],
local_dir=mistral_models_path)
python app.py
params.json: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 202/202 [00:00<00:00, 616kB/s]
tokenizer.model.v3: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 587k/587k [00:00<00:00, 2.59MB/s]
tokenizer.model.v3: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 587k/587k [00:00<00:00, 2.60MB/s]
consolidated.safetensors: 24%|████████████████████████████████▎ | 3.49G/14.5G [22:17<1:10:29, 2.60MB/s]