Instructions to use DeepDream2045/75c6b8a2-5664-4757-9e03-b74341dee1a5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/75c6b8a2-5664-4757-9e03-b74341dee1a5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B") model = PeftModel.from_pretrained(base_model, "DeepDream2045/75c6b8a2-5664-4757-9e03-b74341dee1a5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a33c791d3de47ab37d52ba89f4aca2bae56b1f16eccd1ad9fb387192998b4a75
- Size of remote file:
- 15 kB
- SHA256:
- 398d202d570348cb3612bda2bd902e6cf5677d1e4c30b987f82ffe1db108cdb9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.