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EnJiZ
/
FirstTimeUp

Text Classification
Transformers
PyTorch
Safetensors
English
custom_multilabel_emotion
emotion-classification
multilabel-classification
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use EnJiZ/FirstTimeUp with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="EnJiZ/FirstTimeUp")
    # Load model directly
    from transformers import MultiLabelEmotionClassifier
    model = MultiLabelEmotionClassifier.from_pretrained("EnJiZ/FirstTimeUp", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
FirstTimeUp
532 MB
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  • 1 contributor
History: 2 commits
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EnJiZ
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2fa8178 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    3.87 kB
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  • config.json
    538 Bytes
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  • model.py
    2.9 kB
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  • model.safetensors
    265 MB
    xet
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    266 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.23 kB
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  • vocab.txt
    232 kB
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