Instructions to use SEBIS/code_trans_t5_base_code_documentation_generation_ruby 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_ruby 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_ruby")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_ruby") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_ruby") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7748a3b37816f45beba1612b9b3a79390fa260bf62ad5d0412c1fb871932fb2
- Size of remote file:
- 892 MB
- SHA256:
- c56d4b4f262422d3ad340254f31f72a8aee9c7b998c7fc08225d448cb85d208d
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