Instructions to use SEBIS/code_trans_t5_large_program_synthese_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_program_synthese_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_program_synthese_multitask")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_large_program_synthese_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_large_program_synthese_multitask") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cead6376db0951898eb42b0d1d3bafcab041db5399b32ea4a12166b5b7a09a87
- Size of remote file:
- 2.95 GB
- SHA256:
- 118de5feea6c745e9318835b4125490bc09fd23f0072fa9d6a7facf12504210c
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