Instructions to use DeepDream2045/9f7439e2-56ef-48b6-b4d7-4b2f1d24d44e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/9f7439e2-56ef-48b6-b4d7-4b2f1d24d44e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-14B-Chat") model = PeftModel.from_pretrained(base_model, "DeepDream2045/9f7439e2-56ef-48b6-b4d7-4b2f1d24d44e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 827367d9dfb5c88d9f2915151bc78fd5b4a0faa11fc96b48658fb2d6d9ccae67
- Size of remote file:
- 6.78 kB
- SHA256:
- 330d3d885d5d547fc627404ab7f1dfdec00e54b7a139c316ed49d5c0567d9c47
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