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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3df3ff486602fbad04e3a38cdf7c1ea4754433a6fb6b0ed73006f84c3c8c30bb
- Size of remote file:
- 242 MB
- SHA256:
- 9ee71b4b64a8cf4ad76e36f5a1d324b0cfa7d112dea60d3a4eaf6d1b388f7277
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