7 Commits (3474f39e211a370955fe24371246dbb4723bfd01)

Author	SHA1	Message	Date
Harrison Chase	3474f39e21	Harrison/improve cache (#368) ... make it so everything goes through generate, which removes the need for two types of caches	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
Harrison Chase	9bb7195085	Harrison/llm saving (#331) ... Co-authored-by: Akash Samant <70665700+asamant21@users.noreply.github.com>	2 years ago
Samantha Whitmore	efbc03bda8	NLPCloud client integration (#81) ... lots of kwargs! generation docs here: https://docs.nlpcloud.com/#generation This somewhat breaks the paradigm introduced in LLM base class as the stop sequence isn't a list, and should rightfully be introduced at the time of initialization of the class, along with the other kwargs that depend on its presence (e.g. remove_end_sequence, etc.) curious if you'd want to refactor LLM base class to take out stop as a specific named kwarg?	2 years ago
Harrison Chase	020c42dcae	Harrison/add huggingface hub (#23) ... Add support for huggingface hub I could not find a good way to enforce stop tokens over the huggingface hub api - that needs to hopefully be cleaned up in the future	2 years ago
Harrison Chase	5621ca7b07	Harrison/more documentation (#19)	2 years ago
Harrison Chase	18aeb72012	initial commit	2 years ago