Instructions to use tttx/models-3k-unsolved-priority-022525-step4 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-step4 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-step4") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tttx/models-3k-unsolved-priority-022525-step4: direct link, hf CLI and curl.
- Browser
- Download file 7.29 kB
-
https://huggingface.co/tttx/models-3k-unsolved-priority-022525-step4/resolve/main/training_args.bin
- Command line
-
hf download hf://tttx/models-3k-unsolved-priority-022525-step4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tttx/models-3k-unsolved-priority-022525-step4/resolve/main/training_args.bin
7.29 kB
- Xet hash:
- 5518878a75bb37b525352ec295a9da1f4c8abe71ce75b0544f7bfc065b830fcd
- Size of remote file:
- 7.29 kB
- SHA256:
- d57a01b52b52215edc9f8601238baec69fec452980a7753b1b8d36f4c68eb98e
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