Instructions to use tttx/models-3k-unsolved-priority-022525-step9 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-step9 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-step9") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tttx/models-3k-unsolved-priority-022525-step9: direct link, hf CLI and curl.
- Browser
- Download file 7.29 kB
-
https://huggingface.co/tttx/models-3k-unsolved-priority-022525-step9/resolve/main/training_args.bin
- Command line
-
hf download hf://tttx/models-3k-unsolved-priority-022525-step9/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tttx/models-3k-unsolved-priority-022525-step9/resolve/main/training_args.bin
7.29 kB
- Xet hash:
- 651aa60b53545c4f0213e7a328f56d6776bb92c58ab982c26b4723a64d5af61f
- Size of remote file:
- 7.29 kB
- SHA256:
- 7c9f90e275e8dbf27874759b346cc88c7a991eedc919d37d35d71850451b77ff
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