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:
- a461c3d7fa9b1eb38b3b8ce3ead25fe67407e712d962a326cc0839b2d2bb1159
- Size of remote file:
- 15 kB
- SHA256:
- adfac5e3716d1c6ab4ad4605e7e3344aa08b4c780d49849cba1ef00c1863042d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.