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:
- 3ea3b12ac9626d4256cb7107f98c7ef8cc4daae8b7854afa81809938753ad896
- Size of remote file:
- 11.4 MB
- SHA256:
- 3c11a6ac886e89a098471690b6ced3af1fbd2cdfd12722f5d9b47d3d1327018d
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