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:
- 130e6360689f2a92a922a88757aac3f6820e7cec3be029c07b9b612863caeb08
- Size of remote file:
- 6.78 kB
- SHA256:
- 920b2c7d82856e5fb7d9351929f1af6962c972e7bfe34ba7314628b82510914d
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