# Invalid credentials in Authorization header... Please help

**URL:** <https://discuss.huggingface.co/t/invalid-credentials-in-authorization-header-please-help/164032>\
**Category:** Beginners\
**Created:** [July 22, 2025, 5:39am UTC](https://discuss.huggingface.co/t/invalid-credentials-in-authorization-header-please-help/164032 "2025-07-22T05:39:11Z")\
**Posts on this page:** 4\
**Page:** 1

<div class="post-metadata">

**Author:** ![m-zainvazir](https://avatars.discourse-cdn.com/v4/letter/m/ecae2f/32.png) [@m-zainvazir](https://discuss.huggingface.co/u/m-zainvazir)\
**Post date:** [July 22, 2025, 5:39am UTC](https://discuss.huggingface.co/t/invalid-credentials-in-authorization-header-please-help/164032/1 "2025-07-22T05:39:11Z")

</div>

Tried literally everything. Tried changing Api keys (Used Read, Write, Finegrained - with permissions). Tried changing models (TinyLlama, MetaLlama2, Deepseek)… Looked for other community posts… TRIED EVERTHING… Still ending with “Invalid credentials in Authorization header”

This is my original code:  
from langchain\_huggingface import ChatHuggingFace, HuggingFaceEndpoint  
from dotenv import load\_dotenv  
import os

load\_dotenv()

llm= HuggingFaceEndpoint(  
repo\_id=“TinyLlama/TinyLlama-1.1B-Chat-v1.0”,  
task=“text-generation”,  
huggingfacehub\_api\_token=os.getenv(“HUGGINGFACEHUB\_API\_TOKEN”)  
)  
print(“Loaded token:”, os.getenv(“HUGGINGFACEHUB\_API\_TOKEN”))

model = ChatHuggingFace(llm=llm)  
model.invoke(“What is the capital of India?”) # Example usage

All required environments are installed.  
Please help

---

<div class="post-metadata">

**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](https://discuss.huggingface.co/u/John6666)\
**Post date:** [July 22, 2025, 9:57am UTC](https://discuss.huggingface.co/t/invalid-credentials-in-authorization-header-please-help/164032/2 "2025-07-22T09:57:22Z")

</div>

Hmm… I think this is how you can check the validity of the token itself.

```py
from dotenv import load_dotenv
import os

load_dotenv()
print("Loaded token:", os.getenv("HUGGINGFACEHUB_API_TOKEN"))

from huggingface_hub import HfApi
api = HfApi()
print(api.whoami(os.getenv("HUGGINGFACEHUB_API_TOKEN")))

```

If the tokens itself are fine, then it’s probably a version issue or a bug with the LangChain or other libraries.  
If the tokens aren’t working, then it’s probably something with your network environment or Hugging Face’s server.

---

<div class="post-metadata">

**Author:** ![LPX55](https://avatars.discourse-cdn.com/v4/letter/l/a8b319/32.png) [@LPX55](https://discuss.huggingface.co/u/LPX55)\
**Post date:** [July 22, 2025, 10:20am UTC](https://discuss.huggingface.co/t/invalid-credentials-in-authorization-header-please-help/164032/3 "2025-07-22T10:20:50Z")

</div>

```auto
import logging
from huggingface_hub.utils._runtime import dump_environment_info
#####################################################

API_TOKEN = os.environ['HF_TOKEN']
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"

os.environ.setdefault('GRADIO_ANALYTICS_ENABLED', 'False')
os.environ.setdefault('HF_HUB_DISABLE_TELEMETRY', '1')

dump_environment_info()
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger( __name__ )

```

This is my simple “go-to” snippet for when a Space is acting up. Should provide all the context you need to make a somewhat better-informed next step… you can either come back a later time and hope it fixes itself, or continue trying to debug with more awareness on your immediate environment.

---

<div class="post-metadata">

**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](https://discuss.huggingface.co/u/John6666)\
**Post date:** [July 22, 2025, 11:19am UTC](https://discuss.huggingface.co/t/invalid-credentials-in-authorization-header-please-help/164032/4 "2025-07-22T11:19:40Z")

</div>

Great! Personally, I also recommend the `HF_DEBUG` environment variable.

```py
import logging
from huggingface_hub.utils._runtime import dump_environment_info
#####################################################

API_TOKEN = os.environ['HF_TOKEN']
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"

os.environ.setdefault('GRADIO_ANALYTICS_ENABLED', 'False')
os.environ.setdefault('HF_HUB_DISABLE_TELEMETRY', '1')
os.environ.setdefault('HF_DEBUG', '1')

dump_environment_info()
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger( __name__ )

```