Instructions to use SEBIS/code_trans_t5_base_program_synthese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEBIS/code_trans_t5_base_program_synthese 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_program_synthese")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_program_synthese") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_program_synthese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a6c57fa876648c138ca0c63e94b5224cffc7e33822d83d764cbd02ccfbdf65a
- Size of remote file:
- 892 MB
- SHA256:
- 4d1aa904662abec133d8a8003c4ee901221777997f89459f8e6beaa74364d40c
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