Instructions to use stefan-it/hmbench-ajmc-de-hmbert_tiny-bs4-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-4 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-4 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-4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7a896cf5a324336542ee3cb6e0440b8cce17f07aab2882b21470461f1872530
- Size of remote file:
- 19.1 MB
- SHA256:
- be0b2f984a4fae81f7d64c54863259b209fb13d0695a572472a6ca52fc347909
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