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
hmbench-ajmc-en-hmbert_tiny-bs8-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-5 / runs /events.out.tfevents.1697645705.46dc0c540dd0.2418.19
- Xet hash:
- 425911d138652cb93edb4a133c2e3a4d664576305124833cb26df3d555bf2bf0
- Size of remote file:
- 89.6 kB
- SHA256:
- 093c9781c7441a2a608888a096a6d0cf550964250b96774a8fe8267a01644fa3
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