Token Classification
Flair
PyTorch
TensorBoard
English
sequence-tagger-model
hetzner
hetzner-gex44
hetzner-gpu
Instructions to use stefan-it/flair-clean-conll-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use stefan-it/flair-clean-conll-1 with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("stefan-it/flair-clean-conll-1") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from stefan-it/flair-clean-conll-1: direct link, hf CLI and curl.
- Browser
- Download file 2.26 GB
-
https://huggingface.co/stefan-it/flair-clean-conll-1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://stefan-it/flair-clean-conll-1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stefan-it/flair-clean-conll-1/resolve/main/pytorch_model.bin
2.26 GB
- Xet hash:
- e8fa0b66719562535f49c4dd4b89f841adaf6744800178b32d9adaf270aac21c
- Size of remote file:
- 2.26 GB
- SHA256:
- acd6a5175206161698a822ffe1be3b872f0a393b6dbc245a2c18bf363cbebb60
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