Instructions to use SEBIS/code_trans_t5_base_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_base_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_base_code_documentation_generation_php")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_php") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_php") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2f2efe2b8fc657bcc6c0d666a9e7c18a6648775ead22b0624ee04dafecb7a4b
- Size of remote file:
- 892 MB
- SHA256:
- f2764654c104654232396d8adc16d201b75e9640aff80ece729638ffc771a1f2
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