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lumilogic
/
climateBUG-LM

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

Instructions to use lumilogic/climateBUG-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lumilogic/climateBUG-LM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lumilogic/climateBUG-LM")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("lumilogic/climateBUG-LM")
    model = AutoModelForSequenceClassification.from_pretrained("lumilogic/climateBUG-LM")
  • Notebooks
  • Google Colab
  • Kaggle
climateBUG-LM
334 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 7 commits
Samuel Scheidegger
Update examples.
03da1c5 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
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  • added_tokens.json
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  • config.json
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  • merges.txt
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    329 MB
    xet
    Move model to root folder almost 2 years ago
  • special_tokens_map.json
    239 Bytes
    Move model to root folder almost 2 years ago
  • tokenizer.json
    2.14 MB
    Move model to root folder almost 2 years ago
  • tokenizer_config.json
    368 Bytes
    Move model to root folder almost 2 years ago
  • validation_result.json
    1.2 MB
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  • vocab.json
    798 kB
    Move model to root folder almost 2 years ago