Instructions to use DeepDream2045/d39c2c44-497a-4263-b4dd-0b4ec14c1b5c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/d39c2c44-497a-4263-b4dd-0b4ec14c1b5c 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/d39c2c44-497a-4263-b4dd-0b4ec14c1b5c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bca15fa77c2ac3c24718d397a3246f30d60b47fb3311188adab0615de4076fc
- Size of remote file:
- 240 MB
- SHA256:
- a72b2e56f35e95e90172f26ba3ee60351827dbde214ea521ef00b47314a4e0e7
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