# Cannot use Inference Provider. 429 error. First time usage

**URL:** <https://discuss.huggingface.co/t/cannot-use-inference-provider-429-error-first-time-usage/152822>\
**Category:** Inference Endpoints on the Hub\
**Created:** [April 29, 2025, 9:40am UTC](https://discuss.huggingface.co/t/cannot-use-inference-provider-429-error-first-time-usage/152822 "2025-04-29T09:40:12Z")\
**Posts on this page:** 7\
**Page:** 1

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**Author:** ![huytofu92](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/huytofu92/32/46568_2.png) [@huytofu92](https://discuss.huggingface.co/u/huytofu92)\
**Post date:** [April 29, 2025, 9:40am UTC](https://discuss.huggingface.co/t/cannot-use-inference-provider-429-error-first-time-usage/152822/1 "2025-04-29T09:40:12Z")

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RuntimeError: Failed to generate response from together API: 429 Client Error: Too Many Requests for url: [https://huggingface.co/api/models/meta-llama/Meta-Llama-3.1-8B-Instruct?expand=inferenceProviderMapping](https://huggingface.co/api/models/meta-llama/Meta-Llama-3.1-8B-Instruct?expand=inferenceProviderMapping)

Tried using Inference Provider (Together AI as provider) via InferenceClient  
First time usage. I have never used this service before  
Get the above error

I have paid for Pro Plan ($9/month)  
I have also obtained access for Meta’s llama models which require permission  
I have also added headers = {“X-wait-for-model”: “true”} when initiating the InferenceClient()

Yet I still can’t use at all?!?! Where does this rate limit come from?  
What is even the point of paying for pro plan if I can’t use these models at all??

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**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:** [April 29, 2025, 10:48am UTC](https://discuss.huggingface.co/t/cannot-use-inference-provider-429-error-first-time-usage/152822/2 "2025-04-29T10:48:23Z")

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I don’t know if it’s a problem with the Inference Provider or a lingering effect from the previous server malfunction…

Either way, it’s a problem with the paid service… @meganariley @michellehbn

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**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:** [April 29, 2025, 10:52am UTC](https://discuss.huggingface.co/t/cannot-use-inference-provider-429-error-first-time-usage/152822/3 "2025-04-29T10:52:18Z")

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Possibly this problem.

> [@Hugging Face Payment Error 402 & You've Exceeded Monthly Quota](https://discuss.huggingface.co/t/hugging-face-payment-error-402-youve-exceeded-monthly-quota/144968/16):
>
> Oh… We perhaps need: pip install git+https://github.com/huggingface/huggingface\_hub

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**Author:** ![huytofu92](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/huytofu92/32/46568_2.png) [@huytofu92](https://discuss.huggingface.co/u/huytofu92)\
**Post date:** [April 30, 2025, 4:13am UTC](https://discuss.huggingface.co/t/cannot-use-inference-provider-429-error-first-time-usage/152822/4 "2025-04-30T04:13:59Z")

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@John6666 Are you part of HuggingFace team?

I went to check Together AI’s page for their list of models and realized that their version of Lllama3.1 8B is **meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo**

Is this the reason why my InferenceClient cannot pull model info from huggingface using this link [https://huggingface.co/api/models/meta-llama/Llama-3.1-8B-Instruct?expand=inferenceProviderMapping](https://huggingface.co/api/models/meta-llama/Llama-3.1-8B-Instruct?expand=inferenceProviderMapping)?

I have also checked the json object returned from this link. Turns out there is no Together AI among the providers. Is this the root cause for 429 error?

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<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:** [April 30, 2025, 6:57am UTC](https://discuss.huggingface.co/t/cannot-use-inference-provider-429-error-first-time-usage/152822/5 "2025-04-30T06:57:40Z")

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> Are you part of HuggingFace team?

No.

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**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:** [April 30, 2025, 7:04am UTC](https://discuss.huggingface.co/t/cannot-use-inference-provider-429-error-first-time-usage/152822/6 "2025-04-30T07:04:08Z")

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Including HF Discord, forums and hubs are basically based on mutual assistance between users, and it is common for IT companies to have staff who are sometimes present and sometimes absent. Whether that is a good thing or not is another question…

> Is this the reason why

Even if the names are different, it seems that the assignments themselves have been made. Perhaps only that provider has not been assigned yet…?

 ![llama3infprov1](https://us1.discourse-cdn.com/hellohellohello/original/3X/9/1/9132fdca78d3c5c1b739465fbc4f37317d0d1e22.png)

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**Author:** ![Zelgodiz](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/zelgodiz/32/45662_2.png) [@Zelgodiz](https://discuss.huggingface.co/u/Zelgodiz)\
**Post date:** [May 5, 2025, 4:00am UTC](https://discuss.huggingface.co/t/cannot-use-inference-provider-429-error-first-time-usage/152822/7 "2025-05-05T04:00:00Z")

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If you want to bypass the rate limit issue when using Hugging Face’s InferenceClient with Together AI, you can try forcing a delay between requests or switching to a different provider programmatically. Here’s a workaround using Python:

```python
import time
from huggingface_hub import InferenceClient

# Define model and headers
model_id = "meta-llama/Meta-Llama-3.1-8B-Instruct"
headers = {"X-wait-for-model": "true"}  

# Function to retry requests with a forced delay
def robust_inference(prompt, retries=3, delay=10):
    client = InferenceClient(model_id, headers=headers)
    
    for attempt in range(retries):
        try:
            response = client.query(prompt)
            return response # Success
        except Exception as e:
            print(f"Attempt {attempt+1} failed: {e}")
            if "429" in str(e): # Too Many Requests error
                print(f"Rate limit hit, waiting {delay} seconds before retrying...")
                time.sleep(delay)
            else:
                break # Other errors should not retry
    
    return "Inference failed after multiple attempts."

# Example usage
response = robust_inference("Explain quantum physics in simple terms.")
print(response)

```

### Explanation:

1. **Retries on failure** – If it hits a 429 error, it waits and retries instead of failing outright.
2. **Forces a delay** – Introduces a forced wait time (`delay=10` seconds) between attempts.
3. **Allows switching providers** – You could modify `model_id` to test against Fireworks AI, Nebius, or another provider.

This may not _completely_ override by Hugging Face or Together AI, but it ensures you’re handling the restriction more gracefully.

Let me know if you need tweaks or a different approach! 🚀