Instructions to use dball/zephyr-tiny-dpo-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dball/zephyr-tiny-dpo-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "dball/zephyr-tiny-dpo-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13970ae1288dee4cffba97668d01872f0b0347136feeaa75029a491b723b519f
- Size of remote file:
- 4.86 kB
- SHA256:
- 8a765c41d2ba4095514c6d10cb3bc240e2c7c7938723d279c0404a0651cd974e
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