Instructions to use DeepDream2045/75c6b8a2-5664-4757-9e03-b74341dee1a5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/75c6b8a2-5664-4757-9e03-b74341dee1a5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B") model = PeftModel.from_pretrained(base_model, "DeepDream2045/75c6b8a2-5664-4757-9e03-b74341dee1a5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1c2ac27a13c84651190d503227e3bfa4ad85d3faef6184bbac534843e3a5b84
- Size of remote file:
- 148 MB
- SHA256:
- e13551660caa6197cc6235305f89f7f3d60a9b24b221eaa0a3d35c601ffbe023
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