Instructions to use SEBIS/code_trans_t5_base_code_comment_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_comment_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_comment_generation_java")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_code_comment_generation_java") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_code_comment_generation_java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b062deb6e2ac96b766f3872baf38bdbe974e4a7308fcc6aa3e514d3dc215de2
- Size of remote file:
- 892 MB
- SHA256:
- 50439d825d50aaa9930f4d6fe2033358047b10cd4df27a6ee2c45001863477ad
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