Instructions to use stefan-it/hmbench-ajmc-de-hmbert-bs4-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-5 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-bs4-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-5 with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("stefan-it/hmbench-ajmc-de-hmbert-bs4-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13bd4c7363f12e2f463a73fc5e486747c5c4b6bf5489b928cdba69060da4c92b
- Size of remote file:
- 443 MB
- SHA256:
- 7e63a974f72026450daeec09b0623f78f2dd213644e4836e4eee583073aa0b0b
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