huggingface_hub

@define
class HuggingFaceHubEmbeddingDriver(BaseEmbeddingDriver):
    """Hugging Face Hub Embedding Driver.

    Attributes:
        api_token: Hugging Face Hub API token.
        model: Hugging Face Hub model name.
        client: Custom `InferenceApi`.
    """

    api_token: str = field(kw_only=True, metadata={"serializable": True})
    _client: Optional[InferenceClient] = field(
        default=None, kw_only=True, alias="client", metadata={"serializable": False}
    )

    @lazy_property()
    def client(self) -> InferenceClient:
        return import_optional_dependency("huggingface_hub").InferenceClient(
            model=self.model,
            token=self.api_token,
        )

    def try_embed_chunk(self, chunk: str, **kwargs) -> list[float]:
        response = self.client.feature_extraction(chunk)

        return [float(val) for val in response.flatten().tolist()]

@lazy_property()
def client(self) -> InferenceClient:
    return import_optional_dependency("huggingface_hub").InferenceClient(
        model=self.model,
        token=self.api_token,
    )

def try_embed_chunk(self, chunk: str, **kwargs) -> list[float]:
    response = self.client.feature_extraction(chunk)

    return [float(val) for val in response.flatten().tolist()]