Instructions to use chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3062f279ba97a87e57a95f1b1cfa246eb7efd0d5425c5ff2ed5277c11c81be5
- Size of remote file:
- 14.2 kB
- SHA256:
- db5312ddb8f626229a291c72b544634e2d97dd8ec4ceca4550f1b24f37a77647
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