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qbao775
/
AMR-LE-DeBERTa-V2-XXLarge-Contraposition-Double-Negation-Implication

Text Classification
Transformers
PyTorch
English
deberta-v2
logical-reasoning
logical-equivalence
constrastive-learning
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use qbao775/AMR-LE-DeBERTa-V2-XXLarge-Contraposition-Double-Negation-Implication with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use qbao775/AMR-LE-DeBERTa-V2-XXLarge-Contraposition-Double-Negation-Implication with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="qbao775/AMR-LE-DeBERTa-V2-XXLarge-Contraposition-Double-Negation-Implication")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("qbao775/AMR-LE-DeBERTa-V2-XXLarge-Contraposition-Double-Negation-Implication")
    model = AutoModelForSequenceClassification.from_pretrained("qbao775/AMR-LE-DeBERTa-V2-XXLarge-Contraposition-Double-Negation-Implication")
  • Notebooks
  • Google Colab
  • Kaggle
AMR-LE-DeBERTa-V2-XXLarge-Contraposition-Double-Negation-Implication
6.28 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
qbao775's picture
qbao775
Update README.md
be1663a almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    3.98 kB
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  • added_tokens.json
    23 Bytes
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  • all_results.json
    37 Bytes
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  • config.json
    1.05 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    6.27 GB
    xet
    Upload 8 files about 3 years ago
  • special_tokens_map.json
    173 Bytes
    Upload 8 files about 3 years ago
  • spm.model
    2.45 MB
    xet
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  • tokenizer.json
    8.64 MB
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  • tokenizer_config.json
    429 Bytes
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