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-clirebert_clirevocab_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use P0L3/CliReNER-clirebert_clirevocab_uncased with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("P0L3/CliReNER-clirebert_clirevocab_uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a9a88ad18edfc9d1f146b669a4551aa9457daa331621895cb7d61d511f7e054
- Size of remote file:
- 438 MB
- SHA256:
- 690aed60fd20defedca82b644045fece9f5377b3bec5774b27363144afd6cfdd
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