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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Patcas/v9.5-codet5-bert-finetuned-code_function-to-test_case_function: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/Patcas/v9.5-codet5-bert-finetuned-code_function-to-test_case_function/resolve/main/training_args.bin
- Command line
-
hf download hf://Patcas/v9.5-codet5-bert-finetuned-code_function-to-test_case_function/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Patcas/v9.5-codet5-bert-finetuned-code_function-to-test_case_function/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 2844190b761ed6f949cc0292a7f3cde839a1e3ffa345dd2c7b03ccabfceda211
- Size of remote file:
- 4.79 kB
- SHA256:
- 0903f8cd3282b10387acf9099c824f5c72cccdf77c552ada4f092d01c2423e22
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