How to use SEBIS/code_trans_t5_base_code_comment_generation_java_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_base_code_comment_generation_java_multitask")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_code_comment_generation_java_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_code_comment_generation_java_multitask", device_map="auto")
https://huggingface.co/SEBIS/code_trans_t5_base_code_comment_generation_java_multitask/resolve/5c9dceda49a677314a4e942f446d0afe638402de/README.md
hf download hf://SEBIS/code_trans_t5_base_code_comment_generation_java_multitask@5c9dceda49a677314a4e942f446d0afe638402de/README.md
curl -L -o README.md https://huggingface.co/SEBIS/code_trans_t5_base_code_comment_generation_java_multitask/resolve/5c9dceda49a677314a4e942f446d0afe638402de/README.md
tags: - summarization widget: - text: >- protected String renderUri ( URI uri ) { return uri . toASCIIString ( ) ; }
