Instructions to use SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask 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_multitask 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_multitask")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask: direct link, hf CLI and curl.
- Browser
- Download file 24 Bytes
-
https://huggingface.co/SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask/resolve/df76e0ca04c0c7324d2209ca2ae6879d97be2104/tokenizer_config.json
- Command line
-
hf download hf://SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask@df76e0ca04c0c7324d2209ca2ae6879d97be2104/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask/resolve/df76e0ca04c0c7324d2209ca2ae6879d97be2104/tokenizer_config.json
24 Bytes
| {"do_lower_case": false} |