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:
- a2c4e00624202a1cdc7383c61aaed5244cca738e00a94d188a4d2096b8090a48
- Size of remote file:
- 2.56 MB
- SHA256:
- 06654cb6f34dcc5ea6ef2e16e88695f0968987612bbcdc4a9054dc2f509f73d2
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