Instructions to use stefan-it/hmbench-ajmc-de-hmbert_tiny-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_tiny-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_tiny-bs4-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8ac557d69191e3f1f71bbeeb1d255c0c63bb3ccb0e66255323948688a491cae
- Size of remote file:
- 19.1 MB
- SHA256:
- 64bc37acbf5ae3337dae35e2911ee043ed20300817c3e78d0a0b697455ee4676
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