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Sohan2004
/
TextSentimentClassifierV1

Text Classification
Transformers
Safetensors
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Sohan2004/TextSentimentClassifierV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sohan2004/TextSentimentClassifierV1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Sohan2004/TextSentimentClassifierV1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Sohan2004/TextSentimentClassifierV1")
    model = AutoModelForSequenceClassification.from_pretrained("Sohan2004/TextSentimentClassifierV1")
  • Notebooks
  • Google Colab
  • Kaggle
TextSentimentClassifierV1
269 MB
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  • 1 contributor
History: 4 commits
Sohan2004's picture
Sohan2004
Upload DiarySentimentAnalysisP1 (3).ipynb
e7ff790 verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • DiarySentimentAnalysisP1 (3).ipynb
    202 kB
    Upload DiarySentimentAnalysisP1 (3).ipynb 8 months ago
  • README.md
    5.17 kB
    Upload DistilBertForSequenceClassification about 1 year ago
  • config.json
    674 Bytes
    Upload DistilBertForSequenceClassification about 1 year ago
  • model.safetensors
    268 MB
    xet
    Upload DistilBertForSequenceClassification about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    711 kB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.23 kB
    Upload tokenizer about 1 year ago
  • vocab.txt
    232 kB
    Upload tokenizer about 1 year ago