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:
- fc2944ca24efa5e412cf52e6306ab1b3c8fabbd792a5e9305fb989e10880356a
- Size of remote file:
- 336 MB
- SHA256:
- b8d3bf2b588a0c24356a19e37429f67fc1d3580ce7c610189c97635c043fc569
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.