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SEBIS
/
code_trans_t5_base_code_comment_generation_java_transfer_learning_finetune

Summarization
Transformers
PyTorch
JAX
t5
feature-extraction
text-generation-inference
Model card Files Files and versions
xet
Community
4

Instructions to use SEBIS/code_trans_t5_base_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_base_code_comment_generation_java_transfer_learning_finetune with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="SEBIS/code_trans_t5_base_code_comment_generation_java_transfer_learning_finetune")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_code_comment_generation_java_transfer_learning_finetune")
    model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_code_comment_generation_java_transfer_learning_finetune")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#4 opened almost 3 years ago by
SFconvertbot

TypeError: 'TensorSliceDataset' object is not subscriptable

1
#3 opened about 3 years ago by
codkiller0911

Hoew to train the model on specific language dataset

#2 opened over 3 years ago by
codkiller0911

Upload README.md with huggingface_hub

#1 opened over 3 years ago by
lbourdois
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