Instructions to use fals3/bigcode-starcoder2-15b-unit-test-prompt-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fals3/bigcode-starcoder2-15b-unit-test-prompt-tuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-15b") model = PeftModel.from_pretrained(base_model, "fals3/bigcode-starcoder2-15b-unit-test-prompt-tuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d8621c051e5d4ba49382c6632d3c0c07fb7177b4475c6ed085850b5179a74fd
- Size of remote file:
- 493 kB
- SHA256:
- 34a32ab8541aaf0fae188c1673fb37f93f5243283ccac619aab59f4cc7a0d13a
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