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xap
/
Sentiment_Analysis_NepaliCovidTweets

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

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

  • Libraries
  • Transformers

    How to use xap/Sentiment_Analysis_NepaliCovidTweets with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="xap/Sentiment_Analysis_NepaliCovidTweets")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("xap/Sentiment_Analysis_NepaliCovidTweets")
    model = AutoModelForSequenceClassification.from_pretrained("xap/Sentiment_Analysis_NepaliCovidTweets")
  • Notebooks
  • Google Colab
  • Kaggle
Sentiment_Analysis_NepaliCovidTweets
270 MB
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  • 1 contributor
History: 7 commits
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xap
Update README.md
84d9423 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.65 kB
    Update README.md almost 2 years ago
  • config.json
    782 Bytes
    Upload DistilBertForSequenceClassification almost 2 years ago
  • model.safetensors
    268 MB
    xet
    Upload DistilBertForSequenceClassification almost 2 years ago
  • special_tokens_map.json
    964 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    2.13 MB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.14 kB
    Upload tokenizer almost 2 years ago