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:
- bcd3a0d63c40c004d8a62ce4fa9d79016711cd69c520e69551c5a09514656ba5
- Size of remote file:
- 240 MB
- SHA256:
- 92a2634694ed057a4db5fb83510c9f0228cffc092a1f1f5f1b148964e6ca136a
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