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Sumedhzz
/
Sentiment-Analyzer

Text Classification
Transformers
Safetensors
xlm-roberta
hinglish
sentiment
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Sumedhzz/Sentiment-Analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sumedhzz/Sentiment-Analyzer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Sumedhzz/Sentiment-Analyzer")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Sumedhzz/Sentiment-Analyzer")
    model = AutoModelForSequenceClassification.from_pretrained("Sumedhzz/Sentiment-Analyzer")
  • Notebooks
  • Google Colab
  • Kaggle
Sentiment-Analyzer
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Sumedh satish gajbhiye
Update README.md
3202b0d verified about 1 month ago
  • .gitattributes
    1.57 kB
    Initial model upload about 1 month ago
  • README.md
    185 Bytes
    Update README.md about 1 month ago
  • config.json
    969 Bytes
    Initial model upload about 1 month ago
  • model.safetensors
    1.11 GB
    xet
    Initial model upload about 1 month ago
  • tokenizer.json
    16.8 MB
    xet
    Initial model upload about 1 month ago
  • tokenizer_config.json
    504 Bytes
    Initial model upload about 1 month ago