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-05-5 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-05-5 with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("stefan-it/flair-co-funer-german_bert_base-bs16-e10-lr5e-05-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afe562cd90d0ccd6dfe6c594a98f24ccc73c3fd2dbc6c7d4c8cb145937333072
- Size of remote file:
- 437 MB
- SHA256:
- aad2fe4df27f702f35f7505560370ce4a3a59d46b8691c984f2189054f15eedb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.