Instructions to use SEBIS/code_trans_t5_small_code_documentation_generation_javascript 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_javascript 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_javascript")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_javascript") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_javascript") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac2db29a334286c813e136a9482f2dc710443b9faca13af67d8d0b7a79a25e28
- Size of remote file:
- 242 MB
- SHA256:
- c9ad4a8c53a7a0a76adcc4a6384b06b03ba2a4f657c1f3c8fd8fe8794bd14ce7
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