Instructions to use DeepDream2045/c4259f5e-5388-4faf-b1af-d451ab2134a5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/c4259f5e-5388-4faf-b1af-d451ab2134a5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/c4259f5e-5388-4faf-b1af-d451ab2134a5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96c34b6823e87a257927a6ea21509394ab4bfe3c64539ef768753566140d638b
- Size of remote file:
- 15 kB
- SHA256:
- 122b95b809248b81e4a1a5e06af2523f74a0398d3ba658b5e6892cd9ec6030cf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.