Instructions to use fals3/bigcode-starcoder2-3b-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-starcoder2-3b-unit-test-prompt-tuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "fals3/bigcode-starcoder2-3b-unit-test-prompt-tuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1368664bdaf5d31fd5ad51ab5e50d2c264f2da62f8ea925e670e7893c0e75a5
- Size of remote file:
- 246 kB
- SHA256:
- 0622acb7d52a1cbe717b15f935d5b544ab488c70c7846897e28ab97705d37d18
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