Instructions to use kk-aivio/3dda00c4-b63b-4e2f-bf31-2c3d0df39a21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/3dda00c4-b63b-4e2f-bf31-2c3d0df39a21 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "kk-aivio/3dda00c4-b63b-4e2f-bf31-2c3d0df39a21") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 683c3828fc319a5766e3dd41d22cc84c016b89a0339707f5d76cc09305820a76
- Size of remote file:
- 25.3 MB
- SHA256:
- 39ebb0c30eb43c23352f16c5406246dcdc973a6ea18003fe43cc182e20c4e67d
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