README.md

---
inference: false
language: en
license: apache-2.0
library_name: txtai
tags:
- sentence-similarity
datasets:
- maxiw/hf-posts
---

# Hugging Face Posts txtai embeddings index

This is a [txtai](https://github.com/neuml/txtai) embeddings index for the [Hugging Face Posts dataset](https://huggingface.co/datasets/maxiw/hf-posts).

txtai must be [installed](https://neuml.github.io/txtai/install/) to use this model.

## Example

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

```python
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](https://huggingface.co/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](https://neuml.hashnode.dev/analyzing-hugging-face-posts-with-graphs-and-agents).