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maitry30
/
mindsense-bert

Text Classification
Transformers
Safetensors
English
bert
mental-health
nlp
explainable-ai
shap
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use maitry30/mindsense-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use maitry30/mindsense-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="maitry30/mindsense-bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("maitry30/mindsense-bert")
    model = AutoModelForSequenceClassification.from_pretrained("maitry30/mindsense-bert")
  • Notebooks
  • Google Colab
  • Kaggle
mindsense-bert
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
maitry30's picture
maitry30
Update README.md
13fec06 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    5.85 kB
    Update README.md about 1 month ago
  • config.json
    1.12 kB
    Upload folder using huggingface_hub about 2 months ago
  • label_encoder.pkl

    Detected Pickle imports (6)

    • "joblib.numpy_pickle.NumpyArrayWrapper",
    • "numpy._core.multiarray._reconstruct",
    • "numpy.ndarray",
    • "None.dtype",
    • "sklearn.preprocessing._label.LabelEncoder",
    • "numpy.dtype"

    How to fix it?

    558 Bytes
    xet
    Upload folder using huggingface_hub about 2 months ago
  • model.safetensors
    438 MB
    xet
    Upload folder using huggingface_hub about 2 months ago
  • tokenizer.json
    712 kB
    Upload folder using huggingface_hub about 2 months ago
  • tokenizer_config.json
    322 Bytes
    Upload folder using huggingface_hub about 2 months ago