Hugging Face is an AI platform with all major open source models, datasets, MCPs, and demos. It supplies model inference locally and via serverless Inference Providers. You can use Inference Providers to run open source models like DeepSeek R1 on scalable serverless infrastructure.
langchain-huggingface
package.
Hugging Face
LLM classes or directly use the ChatHuggingFace
class.
See a usage example.
HuggingFaceEndpoint
class to run open source models via serverless Inference Providers or via dedicated Inference Endpoints.
See a usage example.
HuggingFacePipeline
class to run open source models locally.
See a usage example.
HuggingFaceEmbeddings
class to run open source embedding models locally.
See a usage example.
HuggingFaceEndpointEmbeddings
class to run open source embedding models via a dedicated Inference Endpoint.
See a usage example.
HuggingFaceInferenceAPIEmbeddings
class to run open source embedding models via Inference Providers.
See a usage example.
HuggingFaceInstructEmbeddings
class to run open source embedding models locally.
See a usage example.
BGE models on the HuggingFace are one of the best open-source embedding models.
BGE model is created by the Beijing Academy of Artificial Intelligence (BAAI). BAAI
is a private non-profit organization engaged in AI research and development.
See a usage example.
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. They used for a diverse range of tasks such as translation, automatic speech recognition, and image classification.We need to install
datasets
python package.
Load model information fromHugging Face Hub
, including README content. This loader interfaces with theHugging Face Models API
to fetch and load model metadata and README files. The API allows you to search and filter models based on specific criteria such as model tags, authors, and more.
Hugging Face Tools
support text I/O and are loaded using the load_huggingface_tool
function.
We need to install several python packages.
It is a wrapper around OpenAI Text-to-Speech API
.