langchain

Author	SHA1	Message	Date
Harrison Chase	96db6ed073	cleanup (#1274 )	1 year ago
Harrison Chase	5bb2952860	Harrison/hf pipeline (#780 ) Co-authored-by: Parth Chadha <parth29@gmail.com>	1 year ago
xloem	36b6b3cdf6	HuggingFacePipeline: Forward model_kwargs. (#696 ) Since the tokenizer and model are constructed manually, model_kwargs needs to be passed to their constructors. Additionally, the pipeline has a specific named parameter to pass these with, which can provide forward compatibility if they are used for something other than tokenizer or model construction.	1 year ago
mrbean	136f759492	Mrbean/support timeout (#398 ) Add support for passing in a request timeout to the API	2 years ago
mrbean	fc66a32c6f	fix docstring (#383 ) ![Screenshot 2022-12-19 at 11 06 48 AM](https://user-images.githubusercontent.com/43734688/208468970-5cb9bafb-f535-486e-b41f-312a2f9ffffb.png)	2 years ago
Harrison Chase	a7084ad6e4	Harrison/version 0040 (#366 )	2 years ago
mrbean	fe6695b9e7	Add HuggingFacePipeline LLM (#353 ) https://github.com/hwchase17/langchain/issues/354 Add support for running your own HF pipeline locally. This would allow you to get a lot more dynamic with what HF features and models you support since you wouldn't be beholden to what is hosted in HF hub. You could also do stuff with HF Optimum to quantize your models and stuff to get pretty fast inference even running on a laptop.	2 years ago