Instructions to use DeepDream2045/80a89bc3-899f-4e23-9896-759501ad8a54 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/80a89bc3-899f-4e23-9896-759501ad8a54 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, "DeepDream2045/80a89bc3-899f-4e23-9896-759501ad8a54") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a580399f39efe6262c260a3a90fe120fc6c3c4124818339091ff66c724d73c48
- Size of remote file:
- 240 MB
- SHA256:
- cb9c433e67d7d67735ab4c08b384b700ad7bbb2ef098bc9db8b5f55f05f73f4a
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