Version 5.4 added support for loading embeddings indexes from the Hugging Face Hub. See the example below.
from txtai.embeddings import Embeddings
# Load the index from the HF Hub
embeddings = Embeddings()
embeddings.load(provider="huggingface-hub", container="neuml/txtai-intro")
# Run a search
embeddings.search("Tell me a feel good story")
Runs of NeuML txtai-intro on huggingface.co
1.1K
Total runs
0
24-hour runs
141
3-day runs
203
7-day runs
528
30-day runs
More Information About txtai-intro huggingface.co Model
txtai-intro huggingface.co is an AI model on huggingface.co that provides txtai-intro's model effect (), which can be used instantly with this NeuML txtai-intro model. huggingface.co supports a free trial of the txtai-intro model, and also provides paid use of the txtai-intro. Support call txtai-intro model through api, including Node.js, Python, http.
txtai-intro huggingface.co is an online trial and call api platform, which integrates txtai-intro's modeling effects, including api services, and provides a free online trial of txtai-intro, you can try txtai-intro online for free by clicking the link below.
NeuML txtai-intro online free url in huggingface.co:
txtai-intro is an open source model from GitHub that offers a free installation service, and any user can find txtai-intro on GitHub to install. At the same time, huggingface.co provides the effect of txtai-intro install, users can directly use txtai-intro installed effect in huggingface.co for debugging and trial. It also supports api for free installation.