Instructions to use AyoubChLin/ESG-bert-BBC_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use AyoubChLin/ESG-bert-BBC_news with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("AyoubChLin/ESG-bert-BBC_news") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AyoubChLin/ESG-bert-BBC_news: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
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https://huggingface.co/AyoubChLin/ESG-bert-BBC_news/resolve/main/tokenizer.json
- Command line
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hf download hf://AyoubChLin/ESG-bert-BBC_news/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/AyoubChLin/ESG-bert-BBC_news/resolve/main/tokenizer.json
712 kB
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