Token Classification
SpanMarker
PyTorch
Safetensors
English
ner
named-entity-recognition
Eval Results (legacy)
Instructions to use tomaarsen/span-marker-bert-tiny-conll03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use tomaarsen/span-marker-bert-tiny-conll03 with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-tiny-conll03") 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
-
Librarian Bot: Add base_model information to model (#2)
- Librarian Bot: Add base_model information to model (45cdc8ec13638363a540052b788ab0ac8d5d8f90) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>32bd83f
-
Note that this model is mostly used for tests
6c6db68
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (49e7698f1477b0e227d9e7aa353ccda2784e4345)b32e7e4
-
Add missing space
c920901
-
Remove example that doesn't match with CoNLL well
284874c -
Add examples to widget
890730b
-
Update metadata according to new weights
c6d6868 -
Upload model
aaa0730 -
Update metadata for new model weights
bf70a22 -
Upload model
496a0e5
-
Create README.md
3a00e51
-
Upload tokenizer
da7764f -
Upload model
17d0886 -
initial commit
7bffaed