Instructions to use DeepDream2045/650f6b00-aa88-4851-8c12-6af3c6d61932 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/650f6b00-aa88-4851-8c12-6af3c6d61932 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "DeepDream2045/650f6b00-aa88-4851-8c12-6af3c6d61932") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d034f6273cdfc38a1144fe3c17317607985723fd75a89bba8c48772b89260050
- Size of remote file:
- 15 kB
- SHA256:
- b1d6af24a755f13bdb1191c44ff5d9e2a3d418db12b062b97f47b9604d8c87f2
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