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
Commit History
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Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (bc58501ce53047d5e1b089a40cbd581ff714f3a1) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>938fbd1
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Update line 12 in config.json (#1)
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Upload BertForSequenceClassification
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initial commit
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