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
.
Runs of NeuML txtai-hfposts on huggingface.co
16
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
1
30-day runs
More Information About txtai-hfposts huggingface.co Model
txtai-hfposts huggingface.co is an AI model on huggingface.co that provides txtai-hfposts's model effect (), which can be used instantly with this NeuML txtai-hfposts model. huggingface.co supports a free trial of the txtai-hfposts model, and also provides paid use of the txtai-hfposts. Support call txtai-hfposts model through api, including Node.js, Python, http.
txtai-hfposts huggingface.co is an online trial and call api platform, which integrates txtai-hfposts's modeling effects, including api services, and provides a free online trial of txtai-hfposts, you can try txtai-hfposts online for free by clicking the link below.
NeuML txtai-hfposts online free url in huggingface.co:
txtai-hfposts is an open source model from GitHub that offers a free installation service, and any user can find txtai-hfposts on GitHub to install. At the same time, huggingface.co provides the effect of txtai-hfposts install, users can directly use txtai-hfposts installed effect in huggingface.co for debugging and trial. It also supports api for free installation.