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yezdata
/
EmCoder

Text Classification
Transformers
Safetensors
English
emcoder
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 AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("yezdata/EmCoder", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
EmCoder
333 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 83 commits
yezdata's picture
yezdata
Update README.md
fda525e verified about 1 month ago
  • outputs
    add V1.5 outputs about 1 month ago
  • .gitattributes
    384 Bytes
    add V1.5 outputs about 1 month ago
  • LICENSE.md
    19.1 kB
    Upload 14 files about 2 months ago
  • README.md
    7.75 kB
    Update README.md about 1 month ago
  • config.json
    1.6 kB
    ADD EmCoder V1.5 about 1 month ago
  • configuration_emcoder.py
    905 Bytes
    ADD EmCoder V1.5 about 1 month ago
  • model.safetensors
    329 MB
    xet
    ADD EmCoder V1.5 about 1 month ago
  • modeling_emcoder.py
    4.68 kB
    ADD EmCoder V1.5 about 1 month ago
  • thresholds.json
    2.51 kB
    ADD EmCoder V1.5 about 1 month ago
  • tokenizer.json
    1.2 MB
    ADD EmCoder V1.5 about 1 month ago
  • tokenizer_config.json
    1.1 MB
    ADD EmCoder V1.5 about 1 month ago
  • train_config.json
    256 Bytes
    ADD EmCoder V1.5 about 1 month ago
  • train_state.json
    77 Bytes
    ADD EmCoder V1.5 about 1 month ago