Instructions to use SEBIS/code_trans_t5_base_code_documentation_generation_java_multitask_finetune 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_java_multitask_finetune 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_java_multitask_finetune")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_java_multitask_finetune") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_java_multitask_finetune") - Notebooks
- Google Colab
- Kaggle
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| State of the art | 19.06 | 17.65 | 18.07 | 25.16 | 12.16 | 14.90 |
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> Created by [Ahmed Elnaggar](https://twitter.com/Elnaggar_AI) | [LinkedIn](https://www.linkedin.com/in/prof-ahmed-elnaggar/) and Wei Ding [LinkedIn](https://www.linkedin.com/in/wei-ding-92561270/)
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> Created by [Ahmed Elnaggar](https://twitter.com/Elnaggar_AI) | [LinkedIn](https://www.linkedin.com/in/prof-ahmed-elnaggar/) and Wei Ding | [LinkedIn](https://www.linkedin.com/in/wei-ding-92561270/)
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