Instructions to use Patcas/v9.5-codet5-bert-finetuned-code_function-to-test_case_function with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/v9.5-codet5-bert-finetuned-code_function-to-test_case_function with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/v9.5-codet5-bert-finetuned-code_function-to-test_case_function") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/v9.5-codet5-bert-finetuned-code_function-to-test_case_function") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60d8aa0def4dbbbbe3318b057a3ce3f2f882aab22c2c232cf4ac082ef5de4ee4
- Size of remote file:
- 892 MB
- SHA256:
- 17acc7eb177c7359cc91c315a826383cb67f5438af37231a0c7560cd75d66a9d
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