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:
- ad60589faba01cd9c90518732eca487574750e26da0d50f24b7ff37c4d9647e3
- Size of remote file:
- 296 MB
- SHA256:
- faa4fc444d6f5642ef37cfd686e784a666f5f79baaf4f198abdff5c1feca7e47
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