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nasa-impact
/
document-classifier

Text Classification
Transformers
PyTorch
xlnet
Model card Files Files and versions
xet
Community
1

Instructions to use nasa-impact/document-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nasa-impact/document-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nasa-impact/document-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("nasa-impact/document-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("nasa-impact/document-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
document-classifier
473 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
Rajashreee's picture
Rajashreee
Upload XLNetForSequenceClassification
1055981 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    1.2 kB
    Upload XLNetForSequenceClassification about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    469 MB
    xet
    Upload XLNetForSequenceClassification about 2 years ago
  • special_tokens_map.json
    346 Bytes
    Upload tokenizer about 2 years ago
  • spiece.model
    798 kB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer.json
    2.41 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    582 Bytes
    Upload tokenizer about 2 years ago