Instructions to use DeepDream2045/472f800b-4cef-46e8-98bb-9034a1edc4c6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/472f800b-4cef-46e8-98bb-9034a1edc4c6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/472f800b-4cef-46e8-98bb-9034a1edc4c6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 826d001329f56c180d4e2be90a2c276da421058ba93b4b9668122ed7b4144e49
- Size of remote file:
- 73.9 MB
- SHA256:
- 3293a8a1eb1d98f95ae6a8e8eb8951ff87094792bb9a7203c4c68eb0e1b7fa27
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