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 model.safetensors from Patcas/v9.5-codet5-bert-finetuned-code_function-to-test_case_function: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Patcas/v9.5-codet5-bert-finetuned-code_function-to-test_case_function/resolve/main/model.safetensors
- Command line
-
hf download hf://Patcas/v9.5-codet5-bert-finetuned-code_function-to-test_case_function/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Patcas/v9.5-codet5-bert-finetuned-code_function-to-test_case_function/resolve/main/model.safetensors
892 MB
- Xet hash:
- 60d8aa0def4dbbbbe3318b057a3ce3f2f882aab22c2c232cf4ac082ef5de4ee4
- Size of remote file:
- 892 MB
- SHA256:
- 17acc7eb177c7359cc91c315a826383cb67f5438af37231a0c7560cd75d66a9d
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