Instructions to use stefan-it/hmbench-ajmc-de-hmbert_tiny-bs4-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-3 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-lr5e-05-poolingfirst-layers-1-crfFalse-3 with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("stefan-it/hmbench-ajmc-de-hmbert_tiny-bs4-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-3") - Notebooks
- Google Colab
- Kaggle
hmbench-ajmc-de-hmbert_tiny-bs4-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-3 / runs /events.out.tfevents.1697640031.46dc0c540dd0.2016.9
- Xet hash:
- 5bf81ea33e2191cd26d47cb5701c8f646a3030181b8f7f637388694c41f76d4a
- Size of remote file:
- 158 kB
- SHA256:
- 9313734caf4be2d16370af304b4d460a2439f5c174d902645ed43c05032b90be
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.