Instructions to use SEBIS/code_trans_t5_small_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_small_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_small_code_documentation_generation_ruby")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_ruby") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_ruby", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 607e4e2edacbedf630c3b0fe0069c387160a4f28936305c2f51b253c9fc9eb63
- Size of remote file:
- 242 MB
- SHA256:
- 8228fad449ac0a775f1f356e5a87422c550789a9e00b39c680f7e2219cf55bc2
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