Instructions to use tttx/problem-10-upgrade-torch-ttt-step-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tttx/problem-10-upgrade-torch-ttt-step-1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-32B") model = PeftModel.from_pretrained(base_model, "tttx/problem-10-upgrade-torch-ttt-step-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0840d98197160432f60a7d7f8f87801066509ac4f5e704cacb3ce423059f788
- Size of remote file:
- 1.07 GB
- SHA256:
- 0bb66e597dd6d252f26fc47890115832654d738dff9a99849f6893be836934da
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