Instructions to use stefan-it/hmbench-ajmc-en-hmbert_tiny-bs8-wsFalse-e10-lr5e-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-en-hmbert_tiny-bs8-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-5 with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("stefan-it/hmbench-ajmc-en-hmbert_tiny-bs8-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8efdcc3eda20fe90fef7b45023ea4dfd59f5596521795be8272002ebc9196aee
- Size of remote file:
- 19.1 MB
- SHA256:
- 6b5f020fd792a2ef20cc3e235c0dd471a724571a7c1c2426d506d54ce2a217be
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