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
hmbench-ajmc-de-hmbert_tiny-bs4-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-5 / runs /events.out.tfevents.1697640341.46dc0c540dd0.2016.16
- Xet hash:
- 1f82a7be27f598ab7c684d30c025d0b46780aaa9f69539694eb0442fd92a06a2
- Size of remote file:
- 158 kB
- SHA256:
- 3e43dfd0051e41a61c71849235f03a89b43e34f797991ad2da18c269f64ee31a
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