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ab3223323
/
esgBERTv1_Access_to_Finance

Text Classification
Transformers
Safetensors
bert
Model card Files Files and versions
xet
Community

Instructions to use ab3223323/esgBERTv1_Access_to_Finance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ab3223323/esgBERTv1_Access_to_Finance with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ab3223323/esgBERTv1_Access_to_Finance")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ab3223323/esgBERTv1_Access_to_Finance")
    model = AutoModelForSequenceClassification.from_pretrained("ab3223323/esgBERTv1_Access_to_Finance", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
esgBERTv1_Access_to_Finance
1.31 GB
Ctrl+K
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  • 1 contributor
History: 2 commits

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  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    899 Bytes
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  • model.safetensors
    438 MB
    xet
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  • optimizer.pt
    876 MB
    xet
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  • rng_state.pth
    14.6 kB
    xet
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  • scheduler.pt
    627 Bytes
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  • tokenizer.json
    711 kB
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  • trainer_state.json
    1.52 kB
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  • training_args.bin
    4.48 kB
    xet
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