Instructions to use fals3/bigcode-starcoder2-3b-unit-test-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fals3/bigcode-starcoder2-3b-unit-test-lora 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-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76a785cd3f137b82a2000495e9ee551bf4d451c4f6dae49345f70c10130465e4
- Size of remote file:
- 18.2 MB
- SHA256:
- 7199609cde5857429dbde37fb134afe3ef4dd1fb8fadb847b97f20109f703b1c
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