Added pipline args to HuggingFacePipeline.from_model_id
#5268
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dev2049
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Jun 19, 2023
…ai#5268) The current `HuggingFacePipeline.from_model_id` does not allow passing of pipeline arguments to the transformer pipeline. This PR enables adding important pipeline parameters like setting `max_new_tokens` for example. Previous to this PR it would be necessary to manually create the pipeline through huggingface transformers then handing it to langchain. For example instead of this ```py model_id = "gpt2" tokenizer = AutoTokenizer.from_pretrained(model_id) model = AutoModelForCausalLM.from_pretrained(model_id) pipe = pipeline( "text-generation", model=model, tokenizer=tokenizer, max_new_tokens=10 ) hf = HuggingFacePipeline(pipeline=pipe) ``` You can write this ```py hf = HuggingFacePipeline.from_model_id( model_id="gpt2", task="text-generation", pipeline_kwargs={"max_new_tokens": 10} ) ``` Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
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The current
HuggingFacePipeline.from_model_iddoes not allow passing of pipeline arguments to the transformer pipeline.This PR enables adding important pipeline parameters like setting
max_new_tokensfor example.Previous to this PR it would be necessary to manually create the pipeline through huggingface transformers then handing it to langchain.
For example instead of this
You can write this
Who can review?
@hwchase17
@agola11