Instructions to use DeepDream2045/fe73ee49-b31e-44e2-9299-13a4ba990126 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/fe73ee49-b31e-44e2-9299-13a4ba990126 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/fe73ee49-b31e-44e2-9299-13a4ba990126") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 233671a845a729d44867cad8701901b97863b56605441a64f8e0c2e038c191b7
- Size of remote file:
- 1.52 MB
- SHA256:
- 82c91c45dfd169ef7a04fde099791f201aacb2f9cd22fb5d66ed67f8897264a9
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