Cannot use Inference Provider. 429 error. First time usage

Inference Endpoints on the Hub
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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:

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! :rocket: