Instructions to use helpmefindaname/mini-sequence-tagger-conll03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use helpmefindaname/mini-sequence-tagger-conll03 with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("helpmefindaname/mini-sequence-tagger-conll03") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download model_args.bin from helpmefindaname/mini-sequence-tagger-conll03: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/helpmefindaname/mini-sequence-tagger-conll03/resolve/main/model_args.bin
- Command line
-
hf download hf://helpmefindaname/mini-sequence-tagger-conll03/model_args.bin
-
curl -L -o model_args.bin https://huggingface.co/helpmefindaname/mini-sequence-tagger-conll03/resolve/main/model_args.bin
623 Bytes
- Xet hash:
- 49d342507b31500be5e31a274032157c7353cb0da708eff21e35779f5737d841
- Size of remote file:
- 623 Bytes
- SHA256:
- 504daffb03247ebf7819525a378ff2e6a875a95725d4d8b2594d45b60e9c9713
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