Instructions to use fals3/bigcode-starcoder2-7b-unit-test-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fals3/bigcode-starcoder2-7b-unit-test-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-7b") model = PeftModel.from_pretrained(base_model, "fals3/bigcode-starcoder2-7b-unit-test-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9299bb8213b90e9a7a7de70e9aa0320b80c38236c0b9362168793e4fcd4b610c
- Size of remote file:
- 29.4 MB
- SHA256:
- 49dd7c0216fa31584316941fd855c3d39d1c84ac8b3f0f915e08837ab04b0390
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