Instructions to use TheCoderScientist/GarudaCoder-27B-ID-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TheCoderScientist/GarudaCoder-27B-ID-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/kaggle/temp/qwen38-27b-4bit") model = PeftModel.from_pretrained(base_model, "TheCoderScientist/GarudaCoder-27B-ID-lora") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- e42abc437779bab2f86988a868278001c8eb56927abac40d4471f2b2beb3c19f
- Size of remote file:
- 120 MB
- SHA256:
- bd5c0c452f31730598c15c3cd42742b2f0ebc4e3a340aca60a60f89ab990006a
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