Instructions to use DeepDream2045/472f800b-4cef-46e8-98bb-9034a1edc4c6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/472f800b-4cef-46e8-98bb-9034a1edc4c6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "DeepDream2045/472f800b-4cef-46e8-98bb-9034a1edc4c6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab976521bb8dc65fa9ad3a89dd0c70164b82368b53fa42996f93d8e81f2a0a8c
- Size of remote file:
- 38 MB
- SHA256:
- d8cdd28be9549af1d5bae665c6e126d72e4da1f2ba57ad65c7b14a6a4a333524
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.