Hugging Face Hub is home to over 75,000 datasets in more than 100 languages that can be used for a broad range of tasks across NLP, Computer Vision, and Audio. HuggingFaceEmbeddings · ChatHuggingFace · Usage example

14 мая 2024 г. · This new Python package is designed to bring the power of the latest development of Hugging Face into LangChain and keep it up to date.

This package contains the LangChain integrations for huggingface related classes. Installation and Setup. Install the LangChain partner package. pip install ...

Hugging Face Hub is home to over 75,000 datasets in more than 100 languages that can be used for a broad range of tasks across NLP, Computer Vision, and Audio.

This notebook demonstrates how you can build an advanced RAG (Retrieval Augmented Generation) for answering a user's question about a specific knowledge base.

HuggingFace Pipeline API. © Copyright 2023, LangChain Inc. ChatHuggingFace · HuggingFaceEmbeddings · HuggingFacePipeline

4 авг. 2024 г. · In this post, I'm going to dive into a comparison between two powerful NLP frameworks: LangChain and Hugging Face. Both have their unique strengths and ...

4 дня назад · Langchain with Huggingface is a robust, large language model framework that helps integrate AI seamlessly into your application with the help of a language ...

Hugging Face models can be run locally through the HuggingFacePipeline class. The Hugging Face Model Hub hosts over 120k models, 20k datasets, ...

18 дек. 2023 г. · This code showcases a simple integration of Hugging Face's transformer models with Langchain's linguistic toolkit for Natural Language Processing (NLP) tasks.