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:
- 97f93e4c78e000bb01f499720440dbb1302771652408b02c59df42fa63df9ed0
- Size of remote file:
- 6.84 kB
- SHA256:
- b5db1fa9740f53d7d08e28cd00d89744c29bf4fa5c323f0b5ca1512b63d10487
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