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thePixel42
/
depression_detection_model

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use thePixel42/depression_detection_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thePixel42/depression_detection_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="thePixel42/depression_detection_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("thePixel42/depression_detection_model")
    model = AutoModelForSequenceClassification.from_pretrained("thePixel42/depression_detection_model")
  • Notebooks
  • Google Colab
  • Kaggle
depression_detection_model / runs
16.1 kB
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  • 1 contributor
History: 2 commits
thePixel42's picture
thePixel42
End of training
02b352f verified about 2 years ago
  • Mar05_18-05-51_5d51190e69f3
    End of training about 2 years ago
  • Mar05_18-14-47_5d51190e69f3
    End of training about 2 years ago
  • Mar05_20-20-38_4002e157c014
    End of training about 2 years ago