Token Classification
SpanMarker
PyTorch
Safetensors
German
ner
named-entity-recognition
Eval Results (legacy)
Instructions to use gwlms/span-marker-bert-germeval14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use gwlms/span-marker-bert-germeval14 with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("gwlms/span-marker-bert-germeval14") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gwlms/span-marker-bert-germeval14: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/gwlms/span-marker-bert-germeval14/resolve/main/training_args.bin
- Command line
-
hf download hf://gwlms/span-marker-bert-germeval14/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gwlms/span-marker-bert-germeval14/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 94227cb170a260f247d2063bdf0a1e4a553cea24d4a8a65dba9db21644fa18d2
- Size of remote file:
- 4.03 kB
- SHA256:
- 10ea8f2c4d524bc7fc02f0b1c324710d7157570d110206b795d177bde50e11a6
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