Instructions to use chauhoang/42812b97-be3b-4c55-8274-7c3c04e20e60 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/42812b97-be3b-4c55-8274-7c3c04e20e60 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "chauhoang/42812b97-be3b-4c55-8274-7c3c04e20e60") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1427492c40164ac400940b3c685695c40d851c6accc42a41945c8fa16de8514
- Size of remote file:
- 6.78 kB
- SHA256:
- 51bcdcc3c5b1795d9a0915217113e7116a9c31d6379ab448f2026303adaf58a3
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