Instructions to use stefan-it/hmbench-ajmc-de-hmbert_tiny-bs4-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use stefan-it/hmbench-ajmc-de-hmbert_tiny-bs4-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-3 with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("stefan-it/hmbench-ajmc-de-hmbert_tiny-bs4-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f304144e00c8997e9338049a7ced621e390e46661d937194ce4ac9488d9e1d0
- Size of remote file:
- 19.1 MB
- SHA256:
- 2d94fec114279b0c8b086515cf9a19b5485a96b6bc4a7e9bce4fa712b2036008
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