🤝🏻vllm support for pipeline huggingface

[aleks3ewe]

My model uses the huggingface conversation format and I can't link dialogs with acceleration from vllm
I want use both

text_pipeline = pipeline(
            "conversational",
            model=model_path,
            torch_dtype=torch.bfloat16
        )

LLM(model=model_path, dtype=torch.bfloat16)
sampling_params = SamplingParams(temperature=0.95, top_p=0.95, max_tokens=200)

Add support:

def pipeline(
    task: str = None,
    model: Optional[Union[str, "PreTrainedModel", "TFPreTrainedModel"]] = None,
    config: Optional[Union[str, PretrainedConfig]] = None,
    tokenizer: Optional[Union[str, PreTrainedTokenizer, "PreTrainedTokenizerFast"]] = None,
    feature_extractor: Optional[Union[str, PreTrainedFeatureExtractor]] = None,
    image_processor: Optional[Union[str, BaseImageProcessor]] = None,
    framework: Optional[str] = None,
    revision: Optional[str] = None,
    use_fast: bool = True,
    token: Optional[Union[str, bool]] = None,
    device: Optional[Union[int, str, "torch.device"]] = None,
    device_map=None,
    torch_dtype=None,
    trust_remote_code: Optional[bool] = None,
    model_kwargs: Dict[str, Any] = None,
    pipeline_class: Optional[Any] = None,
    **kwargs,
) -> Pipeline:

Same problem