Token Classification
SpanMarker
Safetensors
English
ner
named-entity-recognition
generated_from_span_marker_trainer
climate-change
earth-science
Eval Results (legacy)
Instructions to use P0L3/CliReNER-distilroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use P0L3/CliReNER-distilroberta-base with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("P0L3/CliReNER-distilroberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 836f49a15014e1e98168b4b46094fb885d3cfe62f60e2cafa6e5e01a9694770f
- Size of remote file:
- 5.91 kB
- SHA256:
- 33992b5973c0cc487af4189b15c471b3432fba8fa7ea4e33892a3810e850d141
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.