Instructions to use SEBIS/code_trans_t5_large_source_code_summarization_sql_multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEBIS/code_trans_t5_large_source_code_summarization_sql_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_large_source_code_summarization_sql_multitask")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_large_source_code_summarization_sql_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_large_source_code_summarization_sql_multitask") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2c7e8ef85ff0ceab80b31d0b61ba60ad52ffa9b842b89c4bb91bcd6e03722d9
- Size of remote file:
- 797 kB
- SHA256:
- 9856b76e9978cc5805f0566cedabd2fc7bdb1a3ee22d52545100c056cb09a59c
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