Token Classification
GLiNER
PyTorch
English
ner
named-entity-recognition
climate-change
earth-science
biology
Instructions to use P0L3/CliReNER-gliner_small-v2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use P0L3/CliReNER-gliner_small-v2.5 with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("P0L3/CliReNER-gliner_small-v2.5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7eaf69a4d996337dab38f2546822a376c6449bbb401241b901a8522adb41bf40
- Size of remote file:
- 664 MB
- SHA256:
- b1289f795908a1e7fe2f584bbbd3511025b91a96ed0d713f9d126310bc461174
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