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 tokenizer.json from SamChen888/DeepSeek-R1-7B-Qwen-Think: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/SamChen888/DeepSeek-R1-7B-Qwen-Think/resolve/main/tokenizer.json
- Command line
-
hf download hf://SamChen888/DeepSeek-R1-7B-Qwen-Think/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SamChen888/DeepSeek-R1-7B-Qwen-Think/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 2991d76ccc10124d5df5ebb513e72f31ad4b03be63bd760dcc41bb40d945b866
- Size of remote file:
- 11.4 MB
- SHA256:
- 5f3cae8cedcacb5e3658ccee08b4250e72d2e64a463fa6bf5a5bcec3fea0b363
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