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SEBIS
/
code_trans_t5_large_code_comment_generation_java_transfer_learning_finetune

Feature Extraction
Transformers
PyTorch
JAX
t5
Model card Files Files and versions
xet
Community
4

Instructions to use SEBIS/code_trans_t5_large_code_comment_generation_java_transfer_learning_finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SEBIS/code_trans_t5_large_code_comment_generation_java_transfer_learning_finetune with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="SEBIS/code_trans_t5_large_code_comment_generation_java_transfer_learning_finetune")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_large_code_comment_generation_java_transfer_learning_finetune")
    model = AutoModel.from_pretrained("SEBIS/code_trans_t5_large_code_comment_generation_java_transfer_learning_finetune")
  • Notebooks
  • Google Colab
  • Kaggle
code_trans_t5_large_code_comment_generation_java_transfer_learning_finetune
690 Bytes
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  • 2 contributors
History: 1 commit
system's picture
system HF Staff
initial commit
b1c65c7 about 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago