Instructions to use ARYSONC75/HOT_DOG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use ARYSONC75/HOT_DOG with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("ARYSONC75/HOT_DOG") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
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Download README.md from ARYSONC75/HOT_DOG: direct link, hf CLI and curl.
- Browser
- Download file 92 Bytes
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https://huggingface.co/ARYSONC75/HOT_DOG/resolve/main/README.md
- Command line
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hf download hf://ARYSONC75/HOT_DOG/README.md
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curl -L -o README.md https://huggingface.co/ARYSONC75/HOT_DOG/resolve/main/README.md
92 Bytes
metadata
license: unknown
language:
- am
base_model: google/gemma-2-2b-it
library_name: flair