Instructions to use dada22231/66c169cc-a4a1-4c47-ba51-ab0b888faf29 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/66c169cc-a4a1-4c47-ba51-ab0b888faf29 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "dada22231/66c169cc-a4a1-4c47-ba51-ab0b888faf29") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de94fd076d1d728e7be586242184bc3bcad38211baa6402253813fde0df2295d
- Size of remote file:
- 14.2 kB
- SHA256:
- a8dbf9149baac997ecb5fcb32adecd82dfb1825f2c9c16b2426fd94d049e29b2
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