Instructions to use SEBIS/code_trans_t5_small_transfer_learning_pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEBIS/code_trans_t5_small_transfer_learning_pretrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SEBIS/code_trans_t5_small_transfer_learning_pretrain")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_transfer_learning_pretrain") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_transfer_learning_pretrain") - Notebooks
- Google Colab
- Kaggle
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Browse files
README.md
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# CodeTrans transfer learning pre-trained model
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Pretrained model on programming languages using the t5 small model architecture. It was first released in
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[this repository](https://github.com/agemagician/CodeTrans).
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language: code
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# CodeTrans transfer learning pre-trained model
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Pretrained model on programming languages using the t5 small model architecture. It was first released in
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[this repository](https://github.com/agemagician/CodeTrans).
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