Instructions to use DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/d6f45fc9-70fb-45e0-9a7f-0ee2b7506040") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b73cb5865d5b72a9e202c84553f8d93a1db6fccf98c40942d8fa0b0115b6401
- Size of remote file:
- 6.78 kB
- SHA256:
- e7e3afe04b13fbf8cd129ae44d13dc68273810dce0e47e07ac54989c8217a9e0
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