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Oluwadara
/
MT-model

Text Classification
Transformers
Safetensors
mt5
Model card Files Files and versions
xet
Community

Instructions to use Oluwadara/MT-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Oluwadara/MT-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Oluwadara/MT-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Oluwadara/MT-model")
    model = AutoModelForSequenceClassification.from_pretrained("Oluwadara/MT-model")
  • Notebooks
  • Google Colab
  • Kaggle
MT-model
1.58 GB
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  • 1 contributor
History: 3 commits
Oluwadara's picture
Oluwadara
Upload tokenizer
3e24ef6 verified over 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
    5.17 kB
    Upload MT5ForSequenceClassification over 1 year ago
  • config.json
    838 Bytes
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  • model.safetensors
    1.56 GB
    xet
    Upload MT5ForSequenceClassification over 1 year ago
  • special_tokens_map.json
    416 Bytes
    Upload tokenizer over 1 year ago
  • spiece.model
    4.31 MB
    xet
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  • tokenizer.json
    16.3 MB
    xet
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  • tokenizer_config.json
    19.3 kB
    Upload tokenizer over 1 year ago