NeuML/txtai-hfposts

Hugging Face Posts txtai embeddings index

This is a txtai embeddings index for the Hugging Face Posts dataset.

txtai must be installed to use this model.

Example

This index can be loaded from the Hugging Face Hub with txtai as shown below.

from txtai import Embeddings

# Load the index from the HF Hub
embeddings = Embeddings()
embeddings.load(provider="huggingface-hub", container="neuml/txtai-hfposts")

# Search for posts discussing transformers
embeddings.search("transformers")

Use Cases

Hugging Face Posts is an exploratory dataset to analyze what is being discussed on the Hugging Face Posts platform.

An embeddings index generated by txtai is a fully encapsulated index format. It doesn't require a database server or dependencies outside of the Python install.

More information

Read more about this model and how it was built in this article.