Instructions to use SEBIS/code_trans_t5_base_code_documentation_generation_ruby_multitask 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_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_base_code_documentation_generation_ruby_multitask")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_ruby_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_ruby_multitask") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9c6814e54542e1564a98eb9f2d2ed40242f49a2fb974d86658a3d9c8d0e629e
- Size of remote file:
- 892 MB
- SHA256:
- 7bff0838ed52e0f91996cecb3e91da1d8a94f7dc920f6fee58a016795a526411
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