# Huggingface space getting error after a token revocation

**URL:** <https://discuss.huggingface.co/t/huggingface-space-getting-error-after-a-token-revocation/92622>\
**Category:** Beginners\
**Created:** [June 17, 2024, 6:49pm UTC](https://discuss.huggingface.co/t/huggingface-space-getting-error-after-a-token-revocation/92622 "2024-06-17T18:49:41Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![pipesai](https://avatars.discourse-cdn.com/v4/letter/p/7bcc69/32.png) [@pipesai](https://discuss.huggingface.co/u/pipesai)\
**Post date:** [June 17, 2024, 6:49pm UTC](https://discuss.huggingface.co/t/huggingface-space-getting-error-after-a-token-revocation/92622/1 "2024-06-17T18:49:41Z")

</div>

Hello we are new to huggingface and started to get errors on a working space after we received a notification that HF tokens were compromised. I have posted as much detail as I can with regards to our settings and build logs.

Not sure where we can go from here as we are pretty stuck on this error.

We have an organization with private spaces, datasets, and models running on a NVidia A10Gsmall. We use a HF\_Token as a secret and we are running a ai space called camille.  
title: Camille Trainer  
emoji: ☕  
colorFrom: gray  
colorTo: gray  
sdk: gradio  
sdk\_version: 4.36.1  
app\_file: app.py  
pinned: true  
license: mit

this is from our app.py  
import gradio as gr

from docs import title\_and\_step1  
from camille\_helpers import fetch\_upstream\_dataset, fetch\_upstream\_user\_hashes, reindex  
from hf\_helpers import deploy\_model, fetch\_hf\_dataset, update\_hf\_dataset  
from training\_helpers import train\_model  
…  
Camille-trainer  
import os  
import time  
import requests  
import gradio as gr

from docs import step2  
from hf\_helpers import get\_inference\_endpoint, wake\_service

BASE\_URL = os.environ.get(  
…

hf\_helpers.py

import time  
import gradio as gr  
from typing import List, Dict, Any  
from dataclasses import asdict  
from datasets import Dataset, load\_dataset, DownloadMode  
from huggingface\_hub import (  
InferenceEndpoint,  
list\_repo\_refs,  
list\_inference\_endpoints,  
create\_inference\_endpoint,  
)  
from huggingface\_hub.utils.\_errors import HfHubHTTPError, RepositoryNotFoundError

from docs import step3, step5

download\_mode = DownloadMode.FORCE\_REDOWNLOAD

…

Local-requrements.txt  
datasets  
huggingface-hub\>=0.23.3  
protobuf\<4  
click\<8.1  
pydantic~=1.0  
gradio[oauth]==4.36.1  
uvicorn\>=0.14.0  
spaces==0.17.0

model.py  
from sentence\_transformers import SentenceTransformer, models  
import torch

def get\_base\_model():  
device = torch.device(“cuda” if torch.cuda.is\_available() else “cpu”)

```
word_embedding_model = models.Transformer("BAAI/bge-base-en-v1.5", max_seq_length=512)

word_embedding_model.tokenizer.add_tokens(['[TURN]'], special_tokens=True)
word_embedding_model.tokenizer.truncation_side = 'left'
word_embedding_model.auto_model.resize_token_embeddings(len(word_embedding_model.tokenizer))

pooling_model = models.Pooling(
    word_embedding_model.get_word_embedding_dimension(), pooling_mode="cls"
)

model = SentenceTransformer(modules=[word_embedding_model, pooling_model], device=device)

return model

```

…  
requirements.txt

–extra-index-url [https://download.pytorch.org/whl/cu113](https://download.pytorch.org/whl/cu113)  
torch  
sentence-transformers  
huggingface-hub==0.23.3

training\_helper.py

import json  
import gradio as gr  
import pandas as pd  
from sentence\_transformers import InputExample  
from sentence\_transformers.losses import OnlineContrastiveLoss  
from sentence\_transformers.evaluation import EmbeddingSimilarityEvaluator  
from datasets import load\_dataset, DownloadMode  
from torch.utils.data import DataLoader  
from huggingface\_hub import create\_repo, upload\_folder, hf\_hub\_download

from docs import step4  
from model import get\_base\_model  
from hf\_helpers import get\_repo\_main\_branch

MODEL\_PATH = “./model”  
BATCH\_SIZE = 32

We believe there is a problem with torch . When we get to the train model section we get this error.

raise ImportError(  
ImportError: Using the `Trainer` with `PyTorch` requires `accelerate>=0.20.1`: Please run `pip install transformers[torch]` or `pip install accelerate -U`

We’ve ran these command with no success

This is the full error

===== Application Startup at 2024-06-17 18:39:58 =====

/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils.\_pytree.\_register\_pytree\_node is deprecated. Please use torch.utils.\_pytree.register\_pytree\_node instead.  
\_torch\_pytree.\_register\_pytree\_node(  
/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils.\_pytree.\_register\_pytree\_node is deprecated. Please use torch.utils.\_pytree.register\_pytree\_node instead.  
\_torch\_pytree.\_register\_pytree\_node(  
Running on local URL: [http://0.0.0.0:7860](http://0.0.0.0:7860)

To create a public link, set `share=True` in `launch()`.  
/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/datasets/dataset\_dict.py:1682: FutureWarning: ‘branch’ was deprecated in favor of ‘revision’ in version 2.15.0 and will be removed in 3.0.0.  
You can remove this warning by passing ‘revision=main’ instead.  
warnings.warn(  
/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/huggingface\_hub/file\_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.  
warnings.warn(  
/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils.\_pytree.\_register\_pytree\_node is deprecated. Please use torch.utils.\_pytree.register\_pytree\_node instead.  
\_torch\_pytree.\_register\_pytree\_node(  
Traceback (most recent call last):  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/gradio/queueing.py”, line 532, in process\_events  
response = await route\_utils.call\_process\_api(  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/gradio/route\_utils.py”, line 276, in call\_process\_api  
output = await app.get\_blocks().process\_api(  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/gradio/blocks.py”, line 1928, in process\_api  
result = await self.call\_function(  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/gradio/blocks.py”, line 1514, in call\_function  
prediction = await anyio.to\_thread.run\_sync(  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/anyio/to\_thread.py”, line 56, in run\_sync  
return await get\_async\_backend().run\_sync\_in\_worker\_thread(  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/anyio/\_backends/\_asyncio.py”, line 2177, in run\_sync\_in\_worker\_thread  
return await future  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/anyio/\_backends/\_asyncio.py”, line 859, in run  
result = context.run(func, \*args)  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/gradio/utils.py”, line 832, in wrapper  
response = f(\*args, \*\*kwargs)  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/gradio/utils.py”, line 832, in wrapper  
response = f(\*args, \*\*kwargs)  
File “/home/user/app/training\_helpers.py”, line 96, in train\_model  
model.fit(  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/sentence\_transformers/fit\_mixin.py”, line 304, in fit  
args = SentenceTransformerTrainingArguments(  
File “”, line 119, in **init**  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/sentence\_transformers/training\_args.py”, line 73, in **post\_init**  
super(). **post\_init** ()  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/training\_args.py”, line 1442, in **post\_init**  
and (self.device.type != “cuda”)  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/training\_args.py”, line 1887, in device  
return self.\_setup\_devices  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/utils/generic.py”, line 54, in **get**  
cached = self.fget(obj)  
File “/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/training\_args.py”, line 1787, in \_setup\_devices  
raise ImportError(  
ImportError: Using the `Trainer` with `PyTorch` requires `accelerate>=0.20.1`: Please run `pip install transformers[torch]` or `pip install accelerate -U`

Here is the build log

===== Build Queued at 2024-06-12 19:55:45 / Commit SHA: 6c2158a =====

→ FROM [docker.io/nvidia/cuda:12.3.2-cudnn9-devel-ubuntu22.04@sha256:fb1ad20f2552f5b3aafb2c9c478ed57da95e2bb027d15218d7a55b3a0e4b4413](http://docker.io/nvidia/cuda:12.3.2-cudnn9-devel-ubuntu22.04@sha256:fb1ad20f2552f5b3aafb2c9c478ed57da95e2bb027d15218d7a55b3a0e4b4413)  
DONE 0.0s

→ COPY --chown=1000:1000 --from=root / /  
CACHED

→ RUN apt-get update && apt-get install -y fakeroot && mv /usr/bin/apt-get /usr/bin/.apt-get && echo ‘#!/usr/bin/env sh\nfakeroot /usr/bin/.apt-get $@’ \> /usr/bin/apt-get && chmod +x /usr/bin/apt-get && rm -rf /var/lib/apt/lists/\* && useradd -m -u 1000 user  
CACHED

→ RUN pip install --no-cache-dir pip==22.3.1 && pip install --no-cache-dir datasets “huggingface-hub\>=0.19” “hf-transfer\>=0.1.4” “protobuf\<4” “click\<8.1” “pydantic~=1.0”  
CACHED

→ RUN curl [https://pyenv.run](https://pyenv.run) | bash  
CACHED

→ WORKDIR /home/user/app  
CACHED

→ RUN apt-get update && apt-get install -y git rsync make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm libncursesw5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev git-lfs ffmpeg libsm6 libxext6 cmake libgl1-mesa-glx && rm -rf /var/lib/apt/lists/\* && git lfs install  
CACHED

→ RUN pyenv install 3.10 && pyenv global 3.10 && pyenv rehash  
CACHED

→ RUN --mount=target=/tmp/requirements.txt,source=requirements.txt pip install --no-cache-dir -r /tmp/requirements.txt  
CACHED

→ Restoring cache  
DONE 46.0s

→ RUN pip install --no-cache-dir gradio[oauth]==4.36.1 “uvicorn\>=0.14.0” spaces  
Collecting gradio[oauth]==4.36.1  
Downloading gradio-4.36.1-py3-none-any.whl (12.3 MB)  
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.3/12.3 MB 193.1 MB/s eta 0:00:00  
Collecting uvicorn\>=0.14.0  
Downloading uvicorn-0.30.1-py3-none-any.whl (62 kB)  
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.4/62.4 kB 308.7 MB/s eta 0:00:00  
Collecting spaces  
Downloading spaces-0.28.3-py3-none-any.whl (18 kB)  
Requirement already satisfied: numpy\<3.0,\>=1.0 in /home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from gradio[oauth]==4.36.1) (1.26.4)  
Collecting importlib-resources\<7.0,\>=1.3  
Downloading importlib\_resources-6.4.0-py3-none-any.whl (38 kB)  
Requirement already satisfied: markupsafe~=2.0 in /home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from gradio[oauth]==4.36.1) (2.1.5)  
Requirement already satisfied: urllib3~=2.0 in /home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from gradio[oauth]==4.36.1) (2.2.1)  
Requirement already satisfied: pandas\<3.0,\>=1.0 in /home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from gradio[oauth]==4.36.1) (2.2.2)  
Requirement already satisfied: packaging in /home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from gradio[oauth]==4.36.1) (24.0)  
Collecting altair\<6.0,\>=4.2.0  
Downloading altair-5.3.0-py3-none-any.whl (857 kB)  
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 857.8/857.8 kB 400.3 MB/s eta 0:00:00  
Collecting huggingface-hub\>=0.19.3  
Downloading huggingface\_hub-0.23.3-py3-none-any.whl (401 kB)  
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 401.7/401.7 kB 431.4 MB/s eta 0:00:00  
Requirement already satisfied: pyyaml\<7.0,\>=5.0 in /home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from gradio[oauth]==4.36.1) (6.0.1)  
Collecting fastapi  
Downloading fastapi-0.111.0-py3-none-any.whl (91 kB)  
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 92.0/92.0 kB 337.9 MB/s eta 0:00:00  
Requirement already satisfied: jinja2\<4.0 in /home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from gradio[oauth]==4.36.1) (3.1.4)  
Collecting httpx\>=0.24.1  
Downloading httpx-0.27.0-py3-none-any.whl (75 kB)  
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 75.6/75.6 kB 353.1 MB/s eta 0:00:00  
Collecting aiofiles\<24.0,\>=22.0  
Downloading aiofiles-23.2.1-py3-none-any.whl (15 kB)  
Collecting ruff\>=0.2.2  
Downloading ruff-0.4.8-py3-none-manylinux\_2\_17\_x86\_64.manylinux2014\_x86\_64.whl (8.8 MB)  
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.8/8.8 MB 214.5 MB/s eta 0:00:00  
Collecting typer\<1.0,\>=0.12  
Downloading typer-0.12.3-py3-none-any.whl (47 kB)  
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Collecting ffmpy  
Downloading ffmpy-0.3.2.tar.gz (5.5 kB)  
Preparing metadata (setup.py): started  
Preparing metadata (setup.py): finished with status ‘done’  
Requirement already satisfied: typing-extensions~=4.0 in /home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from gradio[oauth]==4.36.1) (4.12.1)  
Collecting gradio-client==1.0.1  
Downloading gradio\_client-1.0.1-py3-none-any.whl (318 kB)  
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 318.1/318.1 kB 396.0 MB/s eta 0:00:00  
Collecting matplotlib~=3.0  
Downloading matplotlib-3.9.0-cp310-cp310-manylinux\_2\_17\_x86\_64.manylinux2014\_x86\_64.whl (8.3 MB)  
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.3/8.3 MB 170.0 MB/s eta 0:00:00  
Collecting python-multipart\>=0.0.9  
Downloading python\_multipart-0.0.9-py3-none-any.whl (22 kB)  
Collecting tomlkit==0.12.0  
Downloading tomlkit-0.12.0-py3-none-any.whl (37 kB)  
Requirement already satisfied: pillow\<11.0,\>=8.0 in /home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from gradio[oauth]==4.36.1) (10.3.0)  
Collecting semantic-version~=2.0  
Downloading semantic\_version-2.10.0-py2.py3-none-any.whl (15 kB)  
Collecting pydub  
Downloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)  
Collecting orjson~=3.0  
Downloading orjson-3.10.4-cp310-cp310-manylinux\_2\_17\_x86\_64.manylinux2014\_x86\_64.whl (142 kB)  
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Collecting pydantic\>=2.0  
Downloading pydantic-2.7.4-py3-none-any.whl (409 kB)  
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Collecting authlib  
Downloading Authlib-1.3.1-py2.py3-none-any.whl (223 kB)  
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Collecting itsdangerous  
Downloading itsdangerous-2.2.0-py3-none-any.whl (16 kB)  
Collecting websockets\<12.0,\>=10.0  
Downloading websockets-11.0.3-cp310-cp310-manylinux\_2\_5\_x86\_64.manylinux1\_x86\_64.manylinux\_2\_17\_x86\_64.manylinux2014\_x86\_64.whl (129 kB)  
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Requirement already satisfied: fsspec in /home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from gradio-client==1.0.1-\>gradio[oauth]==4.36.1) (2024.3.1)  
Requirement already satisfied: click\>=7.0 in /home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from uvicorn\>=0.14.0) (8.0.4)  
Collecting h11\>=0.8  
Downloading h11-0.14.0-py3-none-any.whl (58 kB)  
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Collecting psutil\<6,\>=2  
Downloading psutil-5.9.8-cp36-abi3-manylinux\_2\_12\_x86\_64.manylinux2010\_x86\_64.manylinux\_2\_17\_x86\_64.manylinux2014\_x86\_64.whl (288 kB)  
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Requirement already satisfied: requests\<3.0,\>=2.19 in /home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages (from spaces) (2.32.3)  
Collecting toolz  
Downloading toolz-0.12.1-py3-none-any.whl (56 kB)  
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Collecting jsonschema\>=3.0  
Downloading jsonschema-4.22.0-py3-none-any.whl (88 kB)