Instructions to use SEBIS/code_trans_t5_small_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_small_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_small_code_documentation_generation_java")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_java") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c28c3316230e22dd2b8ee96c9f043fd8a0cb25cddf85d0ae047c9fb190ca3df4
- Size of remote file:
- 242 MB
- SHA256:
- 3162f5a65359423af4f9c073fd0c7915556c16f8e566d12cb5f632c51cef6ee1
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