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:
- d487595d640e2da8e0ace55f90ac67ac5f143063c31febc5c00c9c48629bc97a
- Size of remote file:
- 6.84 kB
- SHA256:
- d5858e864fe6d5c2ba719eead43389224fb76a97acf7570cd9063a99be2b93a1
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