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yezdata
/
EmCoder

Text Classification
Transformers
Safetensors
English
emcoder
feature-extraction
emotion-recognition
bayesian-deep-learning
mc-dropout
uncertainty-quantification
multi-label-classification
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use yezdata/EmCoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="yezdata/EmCoder", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yezdata/EmCoder", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
EmCoder
333 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 61 commits
yezdata's picture
yezdata
Update README.md
0f3b6c0 verified 5 days ago
  • outputs
    Upload 2 files 5 days ago
  • .gitattributes
    186 Bytes
    Upload epistemic_unc_scatter.png 10 days ago
  • LICENSE.md
    19.1 kB
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  • README.md
    10.1 kB
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  • config.json
    1.88 kB
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  • configuration_emcoder.py
    1.03 kB
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  • model.safetensors
    329 MB
    xet
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  • model_state.json
    79 Bytes
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  • modeling_emcoder.py
    3.55 kB
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  • thresholds.json
    3.36 kB
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  • tokenizer.json
    1.2 MB
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  • tokenizer_config.json
    1.15 MB
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  • train_config.json
    291 Bytes
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