Instructions to use SEBIS/code_trans_t5_small_code_documentation_generation_php 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_php 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_php")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_php") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_php") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a063b86b1c0bf740c3a8469371944218e4ad4462fc5b745fefb550ac4b28e5bf
- Size of remote file:
- 242 MB
- SHA256:
- d8e33a21b822ebd1bd1319833069414cf09343da9e1b1486b30e98d32ada5642
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