Instructions to use tttx/models-3k-unsolved-priority-022525-step3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tttx/models-3k-unsolved-priority-022525-step3 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/models-3k-unsolved-priority-022525-step3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tttx/models-3k-unsolved-priority-022525-step3: direct link, hf CLI and curl.
- Browser
- Download file 7.29 kB
-
https://huggingface.co/tttx/models-3k-unsolved-priority-022525-step3/resolve/main/training_args.bin
- Command line
-
hf download hf://tttx/models-3k-unsolved-priority-022525-step3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tttx/models-3k-unsolved-priority-022525-step3/resolve/main/training_args.bin
7.29 kB
- Xet hash:
- 54bd9cb55f542f392d68ce6c59dbe209a757d99a458c8998c57db815908d9083
- Size of remote file:
- 7.29 kB
- SHA256:
- 6e7f21e1baf71862cba2463636902452641f63597fe0cba7f093d3d966500601
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