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Gnider
/
new_3ep_512_roberta_normal

Text Classification
Transformers
TensorBoard
Joblib
Safetensors
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Gnider/new_3ep_512_roberta_normal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Gnider/new_3ep_512_roberta_normal with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Gnider/new_3ep_512_roberta_normal")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Gnider/new_3ep_512_roberta_normal")
    model = AutoModelForSequenceClassification.from_pretrained("Gnider/new_3ep_512_roberta_normal")
  • Notebooks
  • Google Colab
  • Kaggle
new_3ep_512_roberta_normal
2 GB
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  • 1 contributor
History: 2 commits
Gnider's picture
Gnider
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2e28bf2 verified almost 2 years ago
  • logs
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  • results
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  • wandb
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  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • config.json
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  • label_encoder.joblib

    Detected Pickle imports (6)

    • "numpy.core.multiarray._reconstruct",
    • "joblib.numpy_pickle.NumpyArrayWrapper",
    • "numpy.dtype",
    • "_codecs.encode",
    • "sklearn.preprocessing._label.LabelEncoder",
    • "numpy.ndarray"

    How to fix it?

    1.2 kB
    xet
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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
    280 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    1.22 kB
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  • vocab.json
    798 kB
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