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raygx
/
GNePT-NepSA

Text Classification
Transformers
google-tensorflow TensorFlow
gpt2
generated_from_keras_callback
Model card Files Files and versions
xet
Community
1

Instructions to use raygx/GNePT-NepSA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use raygx/GNePT-NepSA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="raygx/GNePT-NepSA")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("raygx/GNePT-NepSA")
    model = AutoModelForSequenceClassification.from_pretrained("raygx/GNePT-NepSA")
  • Notebooks
  • Google Colab
  • Kaggle
GNePT-NepSA
500 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
raygx's picture
raygx
Upload tokenizer
2c111b7 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.26 kB
    Upload TFGPT2ForSequenceClassification over 2 years ago
  • config.json
    1.08 kB
    Upload TFGPT2ForSequenceClassification over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 2 years ago
  • tf_model.h5
    497 MB
    xet
    Upload TFGPT2ForSequenceClassification over 2 years ago
  • tokenizer.json
    3.06 MB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    144 Bytes
    Upload tokenizer over 2 years ago