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iLabUtk
/
mental_health_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 iLabUtk/mental_health_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use iLabUtk/mental_health_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="iLabUtk/mental_health_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("iLabUtk/mental_health_model")
    model = AutoModelForSequenceClassification.from_pretrained("iLabUtk/mental_health_model")
  • Notebooks
  • Google Colab
  • Kaggle
mental_health_model / runs
45.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 45 commits
iLabUtk's picture
iLabUtk
Training in progress, epoch 50
4b682c0 verified about 2 years ago
  • Apr09_00-09-13_recoil
    Training in progress, epoch 10 about 2 years ago
  • Apr15_17-39-08_5206f7c378ca
    Training in progress, epoch 11 about 2 years ago
  • Apr15_17-44-35_5206f7c378ca
    Training in progress, epoch 20 about 2 years ago
  • Apr15_17-48-12_5206f7c378ca
    Training in progress, epoch 50 about 2 years ago