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Kaludi
/
Reviews-Sentiment-Analysis

Text Classification
Transformers
PyTorch
English
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Kaludi/Reviews-Sentiment-Analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Kaludi/Reviews-Sentiment-Analysis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Kaludi/Reviews-Sentiment-Analysis")
    model = AutoModelForSequenceClassification.from_pretrained("Kaludi/Reviews-Sentiment-Analysis")
  • Notebooks
  • Google Colab
  • Kaggle
Reviews-Sentiment-Analysis
749 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Kaludi's picture
Kaludi
Update README.md
f5f91b4 about 3 years ago
  • .gitattributes
    1.62 kB
    Commit From AutoTrain over 3 years ago
  • README.md
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    Update README.md about 3 years ago
  • added_tokens.json
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    Commit From AutoTrain over 3 years ago
  • config.json
    1.05 kB
    Commit From AutoTrain over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    738 MB
    xet
    Commit From AutoTrain over 3 years ago
  • special_tokens_map.json
    173 Bytes
    Commit From AutoTrain over 3 years ago
  • spm.model
    2.46 MB
    xet
    Commit From AutoTrain over 3 years ago
  • tokenizer.json
    8.66 MB
    xet
    Commit From AutoTrain over 3 years ago
  • tokenizer_config.json
    438 Bytes
    Commit From AutoTrain over 3 years ago