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ClimateLouie
/
AdaptationBERT

Text Classification
Transformers
Safetensors
English
roberta
climate
esg
environment
adaptation
binary-classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use ClimateLouie/AdaptationBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ClimateLouie/AdaptationBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ClimateLouie/AdaptationBERT")
    model = AutoModelForSequenceClassification.from_pretrained("ClimateLouie/AdaptationBERT")
  • Notebooks
  • Google Colab
  • Kaggle
AdaptationBERT
502 MB
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  • 1 contributor
History: 22 commits
ClimateLouie's picture
ClimateLouie
Update README.md
250bba2 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    8.26 kB
    Update README.md 2 months ago
  • config.json
    915 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    499 MB
    xet
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    1.33 kB
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  • vocab.json
    798 kB
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