Token Classification
SpanMarker
PyTorch
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use Aaron-96/multiNERD_fine-tuned_only_English_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use Aaron-96/multiNERD_fine-tuned_only_English_roberta with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("Aaron-96/multiNERD_fine-tuned_only_English_roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cbd888ebe936666c304afb03a0efe108867cda35864d760922ce1cabf7adbc6
- Size of remote file:
- 3.89 kB
- SHA256:
- 2df4ccd3adf73377163a8dab4acb4eb632991616891f734eab96f2aed9cb50b1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.