Instructions to use fals3/bigcode-starcoder2-15b-unit-test-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fals3/bigcode-starcoder2-15b-unit-test-lora 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-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9e0535ec792012bf98a6f92bc3c9a67ed03c6c66e667ecdbcb98eb4ffc7914a
- Size of remote file:
- 48.5 MB
- SHA256:
- 0bc9b259f35e746959440903e718002d577720c2c47bc526ff979bab7633d8ce
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