Instructions to use DeepDream2045/c59c2de5-6dca-4302-a453-97b7ecf293ab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/c59c2de5-6dca-4302-a453-97b7ecf293ab with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Vikhrmodels/Vikhr-7B-instruct_0.4") model = PeftModel.from_pretrained(base_model, "DeepDream2045/c59c2de5-6dca-4302-a453-97b7ecf293ab") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc8faa106f7d7b41e2eb4be8a12dd849738168bceb5700a0465a49a7636b93de
- Size of remote file:
- 671 MB
- SHA256:
- ed3c4ab884196b40596967ca167c41f3ded3c58692d1c6f0b73eca81637275a3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.