Now, did I issue the token incorrectly?

kbuwel · April 22, 2025, 9:15am

I’ve been struggling with tokens all day today. I typed the huggingface-cli login command in anaconda and entered the token I received. And I keep getting the following error message:
raise HTTPError(
requests.exceptions.HTTPError: Invalid user token. If you didn’t pass a user token, make sure you are properly logged in
by executing huggingface-cli login, and if you did pass a user token, double-check it’s correct.
I have issued and refreshed tokens more than 5 times today.
At first, I was able to log in.
However, the 401 permission error did not go away, and I entered the newly issued token, but I am not able to log in at all.
How do I solve this problem?
I was issued a token that can read and write. After issuing, I pressed the button to save it to the clipboard.

John6666 · April 22, 2025, 9:35am

Maybe it’s because it’s Anaconda that the token isn’t being passed properly…?

If the token isn’t being passed even after calling login() within the program, that’s quite a headache. It could also be a network connection issue. Anyway, the reasons and solutions seem to vary widely depending on the person…

It might also happen when using a gated model, but I think that’s probably not the case this time.

github.com/huggingface/huggingface_hub

401 Client Error - Issue with logging with Huggingface CLI/code

opened 09:23PM - 01 Oct 24 UTC

closed 08:20AM - 15 Oct 24 UTC

NamburiSrinath

bug

### Describe the bug I got access to Llama-3.2 but when I tried to access the… model, I got the 401 Error. ``` OSError: You are trying to access a gated repo. Make sure to have access to it at https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct. 401 Client Error. (Request ID: Root=1-66fc667a-79545df845c9253539ea509f;f6f84d32-d328-45e5-b78d-96461057d7d0) Cannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct/resolve/main/config.json. Access to model meta-llama/Llama-3.2-1B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in. ``` Now this means either I don't have access to 3.2B or I am not logged in. I got approved access, so it's not the first one (more about this in Reproduction). I added my HF token key using `huggingface-cli login`, but I am still facing the same issue after that. I tried to debug and found that the command `huggingface-cli whoami` gives me this error - `Invalid user token. If you didn't pass a user token, make sure you are properly logged in by executing huggingface-cli login, and if you did pass a user token, double-check it's correct. {"error":"Invalid username or password."}` So, basically even if I login (either via CLI or in code), I am getting this error ``` from huggingface_hub import login login(token = "xxx") ``` **Note:** The only change I made (from yesterday when Llama-2 is working to today) is to change some environment variables i.e ``` export HF_HOME=xxx export HF_ASSETS_CACHE=xxx export XDG_CACHE_HOME=xxx export HF_TOKEN=xxx export HF_HUB_CACHE=xxx ``` ### Reproduction I also experimented with `Llama-2-7B` (which I used till yesterday and it was fine) but was getting the same `GatedError`. ``` from transformers import AutoTokenizer import transformers import torch from huggingface_hub import login login(token = "xxx") model = "meta-llama/Llama-2-7b-chat-hf" tokenizer = AutoTokenizer.from_pretrained(model) pipeline = transformers.pipeline( "text-generation", model=model, torch_dtype=torch.float16, device_map="auto", ) sequences = pipeline( 'I liked "Breaking Bad" and "Band of Brothers". Do you have any recommendations of other shows I might like?\n', do_sample=True, top_k=10, num_return_sequences=1, eos_token_id=tokenizer.eos_token_id, max_length=200, ) for seq in sequences: print(f"Result: {seq['generated_text']}") ``` ### Logs ``` The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well. Token is valid (permission: fineGrained). Your token has been saved to /qumulo/satya/huggingface/token Login successful Traceback (most recent call last): File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 406, in hf_raise_for_status response.raise_for_status() File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/requests/models.py", line 1021, in raise_for_status raise HTTPError(http_error_msg, response=self) requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/meta-llama/Llama-2-7b-chat-hf/resolve/main/config.json The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/transformers/utils/hub.py", line 403, in cached_file resolved_file = hf_hub_download( File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/huggingface_hub/utils/_deprecation.py", line 101, in inner_f return f(*args, **kwargs) File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1232, in hf_hub_download return _hf_hub_download_to_cache_dir( File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1339, in _hf_hub_download_to_cache_dir _raise_on_head_call_error(head_call_error, force_download, local_files_only) File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1854, in _raise_on_head_call_error raise head_call_error File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1746, in _get_metadata_or_catch_error metadata = get_hf_file_metadata( File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1666, in get_hf_file_metadata r = _request_wrapper( File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 364, in _request_wrapper response = _request_wrapper( File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 388, in _request_wrapper hf_raise_for_status(response) File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 423, in hf_raise_for_status raise _format(GatedRepoError, message, response) from e huggingface_hub.errors.GatedRepoError: 401 Client Error. (Request ID: Root=1-66fc6aa2-51edf73166f9906f2c6e4de2;44b58636-df14-4a1a-bb9c-4d83423f68ed) Cannot access gated repo for url https://huggingface.co/meta-llama/Llama-2-7b-chat-hf/resolve/main/config.json. Access to model meta-llama/Llama-2-7b-chat-hf is restricted. You must have access to it and be authenticated to access it. Please log in. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/qumulo/satya/Compress_Align/scratch_code/pytorch_test.py", line 15, in <module> tokenizer = AutoTokenizer.from_pretrained(model) File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/transformers/models/auto/tokenization_auto.py", line 864, in from_pretrained config = AutoConfig.from_pretrained( File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/transformers/models/auto/configuration_auto.py", line 1006, in from_pretrained config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/transformers/configuration_utils.py", line 567, in get_config_dict config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/transformers/configuration_utils.py", line 626, in _get_config_dict resolved_config_file = cached_file( File "/qumulo/satya/anaconda3/envs/prune_llm/lib/python3.9/site-packages/transformers/utils/hub.py", line 421, in cached_file raise EnvironmentError( OSError: You are trying to access a gated repo. Make sure to have access to it at https://huggingface.co/meta-llama/Llama-2-7b-chat-hf. 401 Client Error. (Request ID: Root=1-66fc6aa2-51edf73166f9906f2c6e4de2;44b58636-df14-4a1a-bb9c-4d83423f68ed) Cannot access gated repo for url https://huggingface.co/meta-llama/Llama-2-7b-chat-hf/resolve/main/config.json. Access to model meta-llama/Llama-2-7b-chat-hf is restricted. You must have access to it and be authenticated to access it. Please log in. ``` ### System info ```shell - huggingface_hub version: 0.25.1 - Platform: Linux-5.15.0-1065-nvidia-x86_64-with-glibc2.35 - Python version: 3.9.19 - Running in iPython ?: No - Running in notebook ?: No - Running in Google Colab ?: No - Running in Google Colab Enterprise ?: No - Token path ?: /qumulo/satya/huggingface/token - Has saved token ?: True - Configured git credential helpers: - FastAI: N/A - Tensorflow: N/A - Torch: 2.4.1 - Jinja2: 3.1.4 - Graphviz: N/A - keras: N/A - Pydot: N/A - Pillow: N/A - hf_transfer: N/A - gradio: N/A - tensorboard: N/A - numpy: 1.26.4 - pydantic: 2.9.2 - aiohttp: 3.10.8 - ENDPOINT: https://huggingface.co - HF_HUB_CACHE: /qumulo/satya/huggingface - HF_ASSETS_CACHE: /qumulo/satya/huggingface - HF_TOKEN_PATH: /qumulo/satya/huggingface/token - HF_HUB_OFFLINE: False - HF_HUB_DISABLE_TELEMETRY: False - HF_HUB_DISABLE_PROGRESS_BARS: None - HF_HUB_DISABLE_SYMLINKS_WARNING: False - HF_HUB_DISABLE_EXPERIMENTAL_WARNING: False - HF_HUB_DISABLE_IMPLICIT_TOKEN: False - HF_HUB_ENABLE_HF_TRANSFER: False - HF_HUB_ETAG_TIMEOUT: 10 - HF_HUB_DOWNLOAD_TIMEOUT: 10 ```

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Now, did I issue the token incorrectly?

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