Instructions to use DeepDream2045/2891ceeb-beb7-4a0c-8669-fa856b437fdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/2891ceeb-beb7-4a0c-8669-fa856b437fdb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-360M") model = PeftModel.from_pretrained(base_model, "DeepDream2045/2891ceeb-beb7-4a0c-8669-fa856b437fdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bd6f55588166dc2d33cf8511857ef3730b3e44709432032016039bcb7c9f72d
- Size of remote file:
- 69.5 MB
- SHA256:
- ac0c7da741eee92345bb106bb68ca0de4eba7323a5fcffec812c942a5697007a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.