Instructions to use stefan-it/hmbench-ajmc-en-hmbert-bs8-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use stefan-it/hmbench-ajmc-en-hmbert-bs8-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-2 with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("stefan-it/hmbench-ajmc-en-hmbert-bs8-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cb5da74a855f9893004631c1685f1bcbbbe50124d704eaae6aea541e5021f31
- Size of remote file:
- 443 MB
- SHA256:
- ee56d304080a92821a4e1f3302fcae9688478b19287e36621a7d066740856e2c
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