How to use SEBIS/code_trans_t5_small_source_code_summarization_sql_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_small_source_code_summarization_sql_multitask_finetune")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_source_code_summarization_sql_multitask_finetune") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_source_code_summarization_sql_multitask_finetune", device_map="auto")
https://huggingface.co/SEBIS/code_trans_t5_small_source_code_summarization_sql_multitask_finetune/resolve/201825d4631b7b84b1e7f217111e505f30966d9a/README.md
hf download hf://SEBIS/code_trans_t5_small_source_code_summarization_sql_multitask_finetune@201825d4631b7b84b1e7f217111e505f30966d9a/README.md
curl -L -o README.md https://huggingface.co/SEBIS/code_trans_t5_small_source_code_summarization_sql_multitask_finetune/resolve/201825d4631b7b84b1e7f217111e505f30966d9a/README.md
tags: - summarization widget: - text: select time ( col0 ) from tab0
