GLiNER
infonex
extractor
information-extraction
infon
ner
relation-extraction
polarity
automotive
fp16
Instructions to use cp500/infon-extract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use cp500/infon-extract with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("cp500/infon-extract") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 920fad91bae09682666082a819c01b4a601ac817a9d5f9e70988c798c105f179
- Size of remote file:
- 16 MB
- SHA256:
- f6df10ec83bea993035b2dd7c39345a3d4fcf23421c2adb6cb4ffc1e6d1bc4b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.