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GhylB
/
Sentiment_Analysis_DistilBERT

Text Classification
Transformers
PyTorch
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use GhylB/Sentiment_Analysis_DistilBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="GhylB/Sentiment_Analysis_DistilBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("GhylB/Sentiment_Analysis_DistilBERT")
    model = AutoModelForSequenceClassification.from_pretrained("GhylB/Sentiment_Analysis_DistilBERT")
  • Notebooks
  • Google Colab
  • Kaggle
Sentiment_Analysis_DistilBERT
269 MB
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  • 1 contributor
History: 3 commits
GhylB's picture
GhylB
Upload tokenizer
18ba84a about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    769 Bytes
    Upload DistilBertForSequenceClassification about 3 years ago
  • pytorch_model.bin
    268 MB
    xet
    Upload DistilBertForSequenceClassification about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    320 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 3 years ago