The error indicates that the AsyncInferenceClient class in the huggingface_hub library doesn’t have a stream method. This could happen if you’re using an older version of the library or if the functionality isn’t available.
To resolve this, here’s what you can do:
Ensure you’re using the latest version of the library. You can update it by running:
pip install --upgrade huggingface_hub
After updating, check the version:
print(huggingface_hub.__version__)
Ensure it matches or exceeds the version required for streaming (consult the Hugging Face documentation for version requirements).
If AsyncInferenceClient still doesn’t support streaming in your setup, revert to using requests for streaming, as in the example shared earlier.
The huggingface_hub library’s API evolves, and some features may be introduced or renamed. Consult the official documentation or use the following commands to explore the capabilities of AsyncInferenceClient in your installed version:
from huggingface_hub import AsyncInferenceClient
print(inspect.getmembers(AsyncInferenceClient, predicate=inspect.isfunction))
If streaming is not directly supported, you can manually implement it using the aiohttp library to send asynchronous streaming requests:
# Define your Hugging Face API token and model name
api_token = "your_huggingface_api_token"
model_name = "meta-llama/Llama-3.3-70B-Instruct"
inference_url = f"https://api-inference.huggingface.co/models/{model_name}"
async def stream_inference(input_text):
"Authorization": f"Bearer {api_token}"
"options": {"wait_for_model": True}
async with aiohttp.ClientSession() as session:
async with session.post(inference_url, headers=headers, json=payload) as response:
if response.status == 200:
async for line in response.content:
chunk = json.loads(line.decode("utf-8"))
if "generated_text" in chunk:
print(chunk["generated_text"], end='', flush=True)
print(f"Error parsing line: {e}")
print(f"Error {response.status}: {await response.text()}")
# Input text for inference
input_text = "What are the benefits of artificial intelligence?"
# Run the asynchronous streaming function
asyncio.run(stream_inference(input_text))
This uses aiohttp for asynchronous streaming and mirrors the functionality expected from AsyncInferenceClient.stream.
Let me know if you need more help troubleshooting or implementing this!