# Unable to access public model - status 401
**URL:**
**Author:**  [@Hany3210](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FHany3210)%5C
**Post date:** [March 8, 2025, 9:09pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Funable-to-access-public-model-status-401%2F144806%2F1 "2025-03-08T21:09:29Z")
i build .net code to access sentence-transformers/all-MiniLM-L6-v2.
while running, i get the following error:
{StatusCode: 401, Unauthorized]
although token is right , it has read permission
using (var client = new HttpClient())
{
client.DefaultRequestHeaders.Add(“Authorization”, “hf\_DimrceBJNUZfMjpICMAQfXzNkrioZErQVI”);
```
var requestContent = new
{
inputs = new string[] { text1, text2 }
};
var response = await client.PostAsync("/static-proxy?url=https%3A%2F%2Fapi-inference.huggingface.co%2Fmodels%2Fsentence-transformers%2Fall-MiniLM-L6-v2",
new StringContent(Newtonsoft.Json.JsonConvert.SerializeObject(requestContent), Encoding.UTF8, "application/json"));
if (!response.IsSuccessStatusCode)
{
Console.WriteLine("Error: " + response.ReasonPhrase);
return -1;
}
```
}
appreciate your support
---
**Author:**  [@John6666](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FJohn6666)%5C
**Post date:** [March 9, 2025, 5:06am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Funable-to-access-public-model-status-401%2F144806%2F2 "2025-03-09T05:06:17Z")
If you are getting a 401 error even though the token is correct, it is usually because of a network setting such as SSL, or because a different token that has been cached is being used somewhere.
If it is a completely server error, I think it is more likely that a non-401 error will be displayed.
> [@Error 401 Client Error: Unauthorized for url](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ferror-401-client-error-unauthorized-for-url%2F19714)%3A
>
> When using model card of my private speech recognition model with LM, I got this error: 401 Client Error: Unauthorized for url: [https://huggingface.co/api/models/taliai/tali-asr-with-lm/revision/main](https://huggingface.co/api/models/taliai/tali-asr-with-lm/revision/main) while the same model without lm works fine. Is there anything wrong on my model or model card or … Any help is appreciated.
> [@Assistance with 401 Unauthorized Error for API Access](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fassistance-with-401-unauthorized-error-for-api-access%2F128643)%3A
>
> I am currently encountering an issue while attempting to use the Hugging Face Inference API with access tokens. Despite following all documentation and testing multiple configurations, I am consistently receiving a 401 Unauthorized error when calling the /models endpoint. Here is a summary of the steps I have taken to troubleshoot this issue: I generated both read-only and fine-grained tokens from my account settings. I ensured the tokens include permissions for: Making calls to the serverl…
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**Author:**  [@Hany3210](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FHany3210)%5C
**Post date:** [March 9, 2025, 1:38pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Funable-to-access-public-model-status-401%2F144806%2F3 "2025-03-09T13:38:50Z")
i checked links you put, but i already assure that token is working fine, this is public repository
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**Author:**  [@John6666](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FJohn6666)%5C
**Post date:** [March 9, 2025, 1:54pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Funable-to-access-public-model-status-401%2F144806%2F4 "2025-03-09T13:54:03Z")
If you access the public repo, with a token, you may get an error.
I think the way tokens are handled has changed recently, and the timing and conditions for getting an error have changed a little…
---
**Author:**  [@Hany3210](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FHany3210)%5C
**Post date:** [March 10, 2025, 5:55am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Funable-to-access-public-model-status-401%2F144806%2F5 "2025-03-10T05:55:38Z")
do you mean that i have to subscribe for one of plan so that i can get access ?
---
**Author:**  [@John6666](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FJohn6666)%5C
**Post date:** [March 10, 2025, 6:16am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Funable-to-access-public-model-status-401%2F144806%2F6 "2025-03-10T06:16:10Z")
Even if you don’t have a paid plan, you should be able to use that model.
Oh no, you’ve leaked a token.😱 I’ve just noticed. You should invalidate that token. You can create as many tokens as you like, so there’s no need to worry, but it’s dangerous to leave a leaked token alone.
---
**Author:**  [@John6666](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FJohn6666)%5C
**Post date:** [March 10, 2025, 6:41am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Funable-to-access-public-model-status-401%2F144806%2F7 "2025-03-10T06:41:30Z")
I tried it out a bit. To cut a long story short, none of the inference APIs for sentence\_similarity work properly. It doesn’t work with or without tokens, or with or without the header itself. It just doesn’t work.
```py
HF_TOKEN = "hf_my_valid_pro_token"
import requests
API_URL = "/static-proxy?url=https%3A%2F%2Frouter.huggingface.co%2Fhf-inference%2Fv1"
headers = {"Authorization": f"Bearer {HF_TOKEN}"}
def query(payload):
response = requests.post(API_URL, headers=headers, json=payload)
return response.json()
output = query({
"inputs": {
"source_sentence": "That is a happy person",
"sentences": [
"That is a happy dog",
"That is a very happy person",
"Today is a sunny day"
]
},
})
print(output)
# {'error': 'Not allowed to POST v1 for provider hf-inference'}
from huggingface_hub import InferenceClient
client = InferenceClient(
provider="hf-inference",
api_key=HF_TOKEN
)
result = client.sentence_similarity(
model="sentence-transformers/all-MiniLM-L6-v2",
#model="BAAI/bge-m3", # 503 error
#model="Qodo/Qodo-Embed-1-1.5B", # 503 error
sentence="That is a happy person",
other_sentences=[
"That is a happy dog",
"That is a very happy person",
"Today is a sunny day"
],
)
print(result)
#Bad request:
#Input should be a valid dictionary or instance of SentenceSimilarityInputsCheck: received `None` in `parameters`
```
---
**Author:**  [@Hany3210](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FHany3210)%5C
**Post date:** [March 12, 2025, 8:54pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Funable-to-access-public-model-status-401%2F144806%2F8 "2025-03-12T20:54:00Z")
I cut it short but on another way.
i made semantic similarity work in python , then call it from .net using REST.
it works fine now 🙂