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FaycalBk
/
ESG-bert-cnn

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use FaycalBk/ESG-bert-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FaycalBk/ESG-bert-cnn with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="FaycalBk/ESG-bert-cnn")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("FaycalBk/ESG-bert-cnn")
    model = AutoModelForSequenceClassification.from_pretrained("FaycalBk/ESG-bert-cnn")
  • Notebooks
  • Google Colab
  • Kaggle
ESG-bert-cnn
877 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
FaycalBk's picture
FaycalBk
Update config.json
1dbe613 about 3 years ago
  • .gitattributes
    1.53 kB
    Upload ESG-bert-cnn with huggingface_hub about 3 years ago
  • ESG-bert-cnn
    438 MB
    xet
    Upload ESG-bert-cnn with huggingface_hub about 3 years ago
  • README.md
    28 Bytes
    initial commit about 3 years ago
  • config.json
    995 Bytes
    Update config.json about 3 years ago
  • pytorch_model.bin
    438 MB
    xet
    Upload BertForSequenceClassification about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    421 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 3 years ago