Instructions to use yycsu/zephyr-7b-sft-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yycsu/zephyr-7b-sft-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "yycsu/zephyr-7b-sft-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d79e84b1ac3f56bacfaaa71a4755023c76ed2a9e23eb283634ceb6261c1662d9
- Size of remote file:
- 5.24 kB
- SHA256:
- 450f93ba028cf9ad2f9655b757053f5dd234fffe94c891e1f66ab309207c04d5
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