Instructions to use menciusds/flairmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use menciusds/flairmodel with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("menciusds/flairmodel") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from menciusds/flairmodel: direct link, hf CLI and curl.
- Browser
- Download file 99.9 kB
-
https://huggingface.co/menciusds/flairmodel/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://menciusds/flairmodel/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/menciusds/flairmodel/resolve/main/pytorch_model.bin
99.9 kB
- Xet hash:
- 7e8bc89a95b81e9dfddf76a00554a4f8148eababf875b9765932734bac4ee054
- Size of remote file:
- 99.9 kB
- SHA256:
- d6f3e433614eba6edaf398d1c039b3a2bc1d6551c148fb6fc9607ed49a0e468f
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