Instructions to use timlim123/zephyr-7b-sft-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use timlim123/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, "timlim123/zephyr-7b-sft-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88d059b08e9389c1bf41f192767b1b9f64d5899c61f1966998571deb96e1e5be
- Size of remote file:
- 4.98 kB
- SHA256:
- af801bd0bcc6597e84c2acdac2e0ed6c1166ef1ccd6b3b4e8d68b2a11f23f8f0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.