Instructions to use SEBIS/code_trans_t5_small_code_documentation_generation_python_multitask 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_python_multitask 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_python_multitask")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_python_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_python_multitask") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0de9827275672c1a18d393591747012323ffdc1493b3232778a988454fbb38bb
- Size of remote file:
- 242 MB
- SHA256:
- edf32a9af2ef07c2dfc04bda8cad896be281a953a014264d2c214dc33a1b7257
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