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Diya-Roshan
/
xlm-code-mixed-tamil-sentiment-classifier

Text Classification
Transformers
PyTorch
English
Tamil
xlm
Model card Files Files and versions
xet
Community
1

Instructions to use Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier")
    # Load model directly
    from transformers import AutoTokenizer, XLMForMultiLabelSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier")
    model = XLMForMultiLabelSequenceClassification.from_pretrained("Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-code-mixed-tamil-sentiment-classifier
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  • 1 contributor
History: 3 commits
Diya-Roshan's picture
Diya-Roshan
Upload 6 files
7cf8700 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    61 Bytes
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  • config.json
    42.2 kB
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  • merges.txt
    2.04 MB
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    2.29 GB
    xet
    Upload 6 files over 2 years ago
  • special_tokens_map.json
    305 Bytes
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  • tokenizer_config.json
    2.82 kB
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  • vocab.json
    4.1 MB
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