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UNCANNY69
/
MisAlBERT_LSTM

Text Classification
Transformers
Safetensors
AlbertLSTMForSequenceClassification
custom_code
Model card Files Files and versions
xet
Community

Instructions to use UNCANNY69/MisAlBERT_LSTM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UNCANNY69/MisAlBERT_LSTM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="UNCANNY69/MisAlBERT_LSTM", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("UNCANNY69/MisAlBERT_LSTM", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MisAlBERT_LSTM
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  • 1 contributor
History: 16 commits
UNCANNY69's picture
UNCANNY69
Delete configuration.py
4669dd6 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    21 Bytes
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  • config.json
    553 Bytes
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  • model.py
    2.99 kB
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  • model.safetensors
    49.9 MB
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  • special_tokens_map.json
    286 Bytes
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  • spiece.model
    760 kB
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  • tokenizer_config.json
    1.25 kB
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