Got error "Error Building Component about langflow HOT 1 OPEN

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To resolve the error "Failed to resolve model_id: Could not find model id for inference server," ensure that the endpoint_url parameter is correctly specified when creating the HuggingFaceEndpoint instance. The endpoint_url should include a valid model ID that exists on the Hugging Face inference server.

Here is an example of how to instantiate the HuggingFaceEndpoint:

llm = HuggingFaceEndpoint(
    endpoint_url="https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2",
    task="text-generation",
    huggingfacehub_api_token="your-api-token",
    model_kwargs=model_kwargs or {},
)

Make sure that the endpoint_url you pass to the build method includes the actual model ID. If you do not provide a valid model ID in the endpoint_url, it could be causing the error.

Example usage:

component = HuggingFaceEndpointsComponent()
result = component.build(
    input_value="Your input text here",
    endpoint_url="https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2",
    task="text-generation",
    huggingfacehub_api_token="your-api-token"
)

Ensure that "your-api-token" is replaced with your actual API token.

Additionally, verify that your Hugging Face API token has the necessary permissions to access the model endpoint. If the token lacks the required permissions, you might encounter this error.

If the issue persists, you can also check the model_kwargs parameter to ensure that any additional configuration options are correctly set. This can help resolve model ID issues by providing additional parameters to the model ^[1][2].

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