Token Classification
Flair
PyTorch
TensorBoard
German
sequence-tagger-model
hetzner
hetzner-gex44
hetzner-gpu
Instructions to use stefan-it/flair-co-funer-german_bert_base-bs16-e10-lr5e-05-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use stefan-it/flair-co-funer-german_bert_base-bs16-e10-lr5e-05-3 with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("stefan-it/flair-co-funer-german_bert_base-bs16-e10-lr5e-05-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8b1cb092bc8ba7f642b86284a5d9d63bfb23715b35b028a28456d4ea644c319
- Size of remote file:
- 437 MB
- SHA256:
- c59dc38bac9e0cc081aa98689e3d4100805c04cbf6cf216a9e63d8dc903764fe
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