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ravi86
/
mood_detector

Image Classification
Transformers
PyTorch
English
emotion-detection
facial-expressio
deep-learning
cnn
Model card Files Files and versions
xet
Community

Instructions to use ravi86/mood_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ravi86/mood_detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ravi86/mood_detector")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ravi86/mood_detector", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mood_detector
6.54 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 18 commits
ravi86's picture
ravi86
Update README.md
4a889fd verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    4.7 kB
    Update README.md 11 months ago
  • config.json
    189 Bytes
    Update config.json 11 months ago
  • handler.py
    560 Bytes
    Create handler.py 11 months ago
  • my_model.h5
    6.53 MB
    xet
    Upload my_model.h5 11 months ago
  • preprocessor_config.json
    302 Bytes
    Create preprocessor_config.json 11 months ago
  • requirements.txt
    47 Bytes
    Create requirements.txt 11 months ago