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jasmeeetsingh
/
twitter-depression-classification-sentiment140

Text Classification
Transformers
PyTorch
English
roberta
twitter
depression
sentiment140
Model card Files Files and versions
xet
Community

Instructions to use jasmeeetsingh/twitter-depression-classification-sentiment140 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jasmeeetsingh/twitter-depression-classification-sentiment140 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jasmeeetsingh/twitter-depression-classification-sentiment140")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jasmeeetsingh/twitter-depression-classification-sentiment140")
    model = AutoModelForSequenceClassification.from_pretrained("jasmeeetsingh/twitter-depression-classification-sentiment140")
  • Notebooks
  • Google Colab
  • Kaggle
twitter-depression-classification-sentiment140
500 MB
Ctrl+K
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  • 1 contributor
History: 18 commits
jasmeeetsingh's picture
jasmeeetsingh
Delete model_BERT_Trained.pkl
6029921 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    78.6 kB
    Update README.md over 3 years ago
  • config.json
    949 Bytes
    Update config.json over 3 years ago
  • pytorch_model.bin
    499 MB
    xet
    Upload pytorch_model.bin over 3 years ago
  • special_tokens_map.json
    772 Bytes
    Upload 2 files over 3 years ago
  • vocab.json
    899 kB
    Upload 2 files over 3 years ago