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alexander1010
/
expon-emotions

Text Classification
Transformers
Safetensors
Spanish
bert
emotion-recognition
spanish
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use alexander1010/expon-emotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use alexander1010/expon-emotions with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="alexander1010/expon-emotions")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("alexander1010/expon-emotions")
    model = AutoModelForSequenceClassification.from_pretrained("alexander1010/expon-emotions", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
expon-emotions / src
30.8 kB
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  • 1 contributor
History: 1 commit
alexander1010's picture
alexander1010
Add src folder
d7aa146 verified 12 months ago
  • __pycache__
    Add src folder 12 months ago
  • api_emotions.py
    418 Bytes
    Add src folder 12 months ago
  • dataset.py
    262 Bytes
    Add src folder 12 months ago
  • infer.py
    697 Bytes
    Add src folder 12 months ago
  • labels.py
    107 Bytes
    Add src folder 12 months ago
  • make_synthetic_v2.py
    3.8 kB
    Add src folder 12 months ago
  • train.py
    2.71 kB
    Add src folder 12 months ago
  • weak_labeler_emotions.py
    2.79 kB
    Add src folder 12 months ago