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ESGBERT
/
EnvironmentalBERT-action

Text Classification
Transformers
Safetensors
English
roberta
ESG
environmental
action
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use ESGBERT/EnvironmentalBERT-action with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ESGBERT/EnvironmentalBERT-action with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ESGBERT/EnvironmentalBERT-action")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ESGBERT/EnvironmentalBERT-action")
    model = AutoModelForSequenceClassification.from_pretrained("ESGBERT/EnvironmentalBERT-action")
  • Notebooks
  • Google Colab
  • Kaggle
EnvironmentalBERT-action
332 MB
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  • 1 contributor
History: 14 commits
tobischimanski's picture
tobischimanski
Update README.md
43c5ef1 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.3 kB
    Update README.md 6 months ago
  • config.json
    805 Bytes
    Upload 2 files over 2 years ago
  • merges.txt
    456 kB
    Model and Tokenizer over 2 years ago
  • model.safetensors
    328 MB
    xet
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  • special_tokens_map.json
    280 Bytes
    Model and Tokenizer over 2 years ago
  • tokenizer.json
    2.11 MB
    Model and Tokenizer over 2 years ago
  • tokenizer_config.json
    351 Bytes
    Model and Tokenizer over 2 years ago
  • vocab.json
    798 kB
    Model and Tokenizer over 2 years ago