Chroma also provides a convenient wrapper around HuggingFace's embedding API. This embedding function runs remotely on HuggingFace's servers, and requires an API key. You can get an API key by signing up for an account at HuggingFace.
This embedding function relies on the
requests python package, which you can install with
pip install requests.
huggingface_ef = embedding_functions.HuggingFaceEmbeddingFunction(
You can pass in an optional
model_name argument, which lets you choose which HuggingFace model to use. By default, Chroma uses
sentence-transformers/all-MiniLM-L6-v2. You can see a list of all available models here.