Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Patcas/v9.7-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/v9.7-codet5-bert-finetuned-code_function-to-test_case_function with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/v9.7-codet5-bert-finetuned-code_function-to-test_case_function") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/v9.7-codet5-bert-finetuned-code_function-to-test_case_function") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a71ffe0062b941fa4e001dbe4a1b68153566675e72e4c39f208e12d3cffe97f8
- Size of remote file:
- 892 MB
- SHA256:
- cf1f239142170a45f8a6bf09c07f9f18f33e44666548337a38088d365eced0da
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.