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Flowerly
/
Flan_T5_small_Fake_Review

Text Classification
Transformers
Safetensors
t5
Model card Files Files and versions
xet
Community

Instructions to use Flowerly/Flan_T5_small_Fake_Review with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Flowerly/Flan_T5_small_Fake_Review with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Flowerly/Flan_T5_small_Fake_Review")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Flowerly/Flan_T5_small_Fake_Review")
    model = AutoModelForSequenceClassification.from_pretrained("Flowerly/Flan_T5_small_Fake_Review")
  • Notebooks
  • Google Colab
  • Kaggle
Flan_T5_small_Fake_Review
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  • 1 contributor
History: 3 commits
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Upload tokenizer
de618e8 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload T5ForSequenceClassification over 1 year ago
  • config.json
    1.73 kB
    Upload T5ForSequenceClassification over 1 year ago
  • model.safetensors
    243 MB
    xet
    Upload T5ForSequenceClassification over 1 year ago
  • special_tokens_map.json
    2.54 kB
    Upload tokenizer over 1 year ago
  • spiece.model
    792 kB
    xet
    Upload tokenizer over 1 year ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    21 kB
    Upload tokenizer over 1 year ago