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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
440 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
alexander1010's picture
alexander1010
Add requirements.txt
5ff5620 verified 12 months ago
  • src
    Add src folder 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    673 Bytes
    Add proper README at root 12 months ago
  • config.json
    1.03 kB
    clean upload 12 months ago
  • model.safetensors
    439 MB
    xet
    clean upload 12 months ago
  • requirements.txt
    65 Bytes
    Add requirements.txt 12 months ago
  • special_tokens_map.json
    732 Bytes
    clean upload 12 months ago
  • tokenizer.json
    730 kB
    clean upload 12 months ago
  • tokenizer_config.json
    1.33 kB
    clean upload 12 months ago
  • vocab.txt
    242 kB
    clean upload 12 months ago