Token Classification
Flair
PyTorch
TensorBoard
German
sequence-tagger-model
hetzner
hetzner-gex44
hetzner-gpu
Instructions to use stefan-it/flair-co-funer-gbert_base-bs8-e10-lr5e-05-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use stefan-it/flair-co-funer-gbert_base-bs8-e10-lr5e-05-1 with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("stefan-it/flair-co-funer-gbert_base-bs8-e10-lr5e-05-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0491a72ec037c901627140c94f57146b20b4eab8f294e58ae0bc375d3b877d6a
- Size of remote file:
- 441 MB
- SHA256:
- fddd63888f8c2020ec8ebe83b7c1caccd8bdcf439e4e0921132c48480a48d7e0
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