Token Classification
SpanMarker
PyTorch
TensorBoard
Safetensors
multilingual
ner
named-entity-recognition
Eval Results (legacy)
Instructions to use tomaarsen/span-marker-xlm-roberta-base-multinerd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use tomaarsen/span-marker-xlm-roberta-base-multinerd with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-xlm-roberta-base-multinerd") entities = model.predict("Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris.") print(entities) - Notebooks
- Google Colab
- Kaggle
Commit History
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Remove limitation since v1.4.0 release
dec5a5c
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Apply correct license based on the dataset
07bed14
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Update metric formatting
d6b6f60 -
Refer users to the superior mBERT model
bef30ed
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Add contributions
4762718
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Link to MultiNERD and warning
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Add label set
80b05a2 -
Upload results with huggingface_hub (#2)
- Upload results with huggingface_hub (1c2660994282b9967ec04b381594195de7ce99d5)4eeafee -
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (b92764f51e98f1132f3f9fa5312cbd041f95edb6)65bb18a -
Add metrics to README
b2bb91b -
Upload runs/events.out.tfevents.1690959567.Tom.20112.2 with huggingface_hub
d30ecfe -
Upload runs/events.out.tfevents.1690915400.Tom.20112.0 with huggingface_hub
dbe8f51 -
Add metrics, widget examples & link to train.py
edcd145 -
Upload train.py with huggingface_hub
f1d3ae0 -
Upload model
13f4da1 -
initial commit
33071f7