Instructions to use DeepDream2045/5098e4ea-3baa-466f-a147-7f46b679f708 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/5098e4ea-3baa-466f-a147-7f46b679f708 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Artples/L-MChat-7b") model = PeftModel.from_pretrained(base_model, "DeepDream2045/5098e4ea-3baa-466f-a147-7f46b679f708") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 520014730a4e7fac148d953cfdea6d0858a0e543df0d41bd167899cae9500471
- Size of remote file:
- 6.78 kB
- SHA256:
- 5dd421ee496f84b943e667379d94c279e81d013b511fd3641f3973aa3000a968
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