Instructions to use SEBIS/code_trans_t5_base_code_documentation_generation_java 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_documentation_generation_java 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_documentation_generation_java")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_java") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88829b19bfd3bdb98e3319899eb1110f620d7a875ce290252b47fe1455d3e382
- Size of remote file:
- 892 MB
- SHA256:
- d710c9fb9698b06d31bd87cd6e51ece85767906c700b56f8289210ad5d793b20
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