Instructions to use SEBIS/code_trans_t5_small_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_small_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_small_program_synthese_multitask")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_program_synthese_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_program_synthese_multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add TF weights (#1)
joaogante- Add TF weights (82e4a8ceec4e98328b937c078c81971b1e3b8afb)8efc2c6
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allow flax
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Update README.md
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Update from weiding
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initial commit
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