Instructions to use SEBIS/code_trans_t5_base_code_documentation_generation_python 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_python 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_python")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_python") model = AutoModelForMultimodalLM.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb76c62ad096d986107ca8d24558e7882a9f6c46f7ab1453a9333af48452c3a7
- Size of remote file:
- 892 MB
- SHA256:
- 2c3d435fd06063a0e7ee9df6ea7bf69aebe94efef2dae846a523e7dcd35b93f5
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