Instructions to use DeepDream2045/7cdedd27-7429-4fa5-8216-572f3edb7ed7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/7cdedd27-7429-4fa5-8216-572f3edb7ed7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "DeepDream2045/7cdedd27-7429-4fa5-8216-572f3edb7ed7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 080de29b88a9c4e2aed53f1ecfe621f73c67e00f4617e18d0d05af1695a67dab
- Size of remote file:
- 1.55 MB
- SHA256:
- da31dbeb642eb83cb0f99bd6074502e66d30950047f173b786a4de4e498a0aa9
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