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poudel
/
Depression_and_Non-Depression_Classifier

Text Classification
Transformers
Safetensors
English
bert
sentiment-analysis
depression
BERT
mental-health
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
3

Instructions to use poudel/Depression_and_Non-Depression_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use poudel/Depression_and_Non-Depression_Classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="poudel/Depression_and_Non-Depression_Classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("poudel/Depression_and_Non-Depression_Classifier")
    model = AutoModelForSequenceClassification.from_pretrained("poudel/Depression_and_Non-Depression_Classifier")
  • Notebooks
  • Google Colab
  • Kaggle
Depression_and_Non-Depression_Classifier
439 MB
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  • 1 contributor
History: 11 commits
poudel's picture
poudel
Update README.md
c4ced25 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.86 kB
    Update README.md over 1 year ago
  • config.json
    742 Bytes
    Upload BertForSequenceClassification over 1 year ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification over 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    712 kB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.19 kB
    Upload tokenizer over 1 year ago
  • vocab.txt
    232 kB
    Upload tokenizer over 1 year ago