Instructions to use SamChen888/DeepSeek-R1-7B-Qwen-Think with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SamChen888/DeepSeek-R1-7B-Qwen-Think with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/DeepSeek-R1-Distill-Qwen-7B-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "SamChen888/DeepSeek-R1-7B-Qwen-Think") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SamChen888/DeepSeek-R1-7B-Qwen-Think: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/SamChen888/DeepSeek-R1-7B-Qwen-Think/resolve/main/training_args.bin
- Command line
-
hf download hf://SamChen888/DeepSeek-R1-7B-Qwen-Think/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SamChen888/DeepSeek-R1-7B-Qwen-Think/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 1523353ca6a28f24e29cda083a81a2ee8b248a7d975e39ef49ea20476f1a0ee5
- Size of remote file:
- 5.56 kB
- SHA256:
- 31d862c776feed0806e9a95a8738b9cf43119ed6f05f86531949e9624f88a753
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