Instructions to use EdBergJr/DeepSeek-R1-Distill-Qwen-7B_Baha_1A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EdBergJr/DeepSeek-R1-Distill-Qwen-7B_Baha_1A with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EdBergJr/DeepSeek-R1-Distill-Qwen-7B_Baha_1A", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from EdBergJr/DeepSeek-R1-Distill-Qwen-7B_Baha_1A: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/EdBergJr/DeepSeek-R1-Distill-Qwen-7B_Baha_1A/resolve/main/tokenizer.json
- Command line
-
hf download hf://EdBergJr/DeepSeek-R1-Distill-Qwen-7B_Baha_1A/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/EdBergJr/DeepSeek-R1-Distill-Qwen-7B_Baha_1A/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 03c8f1f985ab1fec0d72ad1ae348db38a53920df7a793eeb1565941776e307dc
- Size of remote file:
- 11.4 MB
- SHA256:
- 22629d2456a6cc20bfb243d63ceff2070dc98fb976f00cd2c3b10f7e016c2ae1
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