Instructions to use desiree/DeepSeek-R1-LoRA-Vision-Multimodal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use desiree/DeepSeek-R1-LoRA-Vision-Multimodal with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("desiree/DeepSeek-R1-LoRA-Vision-Multimodal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from desiree/DeepSeek-R1-LoRA-Vision-Multimodal: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/desiree/DeepSeek-R1-LoRA-Vision-Multimodal/resolve/main/tokenizer.json
- Command line
-
hf download hf://desiree/DeepSeek-R1-LoRA-Vision-Multimodal/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/desiree/DeepSeek-R1-LoRA-Vision-Multimodal/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 983e2ff545fcdf52d6f3e632c92cb7e8c817ac5e01a178017343d770bf39e045
- Size of remote file:
- 17.2 MB
- SHA256:
- a60b6588b5348ed1b8e0c4459b0942ccbaabb9ef02caf38c3bb4e8a5af7d2c49
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