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:
- 39230a3a9af8d58ecaef9f56b9a9bf835b245dc03384487b1ba3125dc0678723
- Size of remote file:
- 3.11 MB
- SHA256:
- 13282f0a61290a7ba790973c978b1ac294057f4ca7986174a0fda8cfb29a7619
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