Instructions to use interlive/STRIDE-R002-PMDM-Qwen3-VL-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use interlive/STRIDE-R002-PMDM-Qwen3-VL-2B with Transformers:
# Load model directly from transformers import AutoProcessor, Qwen3VLForProactiveMDM processor = AutoProcessor.from_pretrained("interlive/STRIDE-R002-PMDM-Qwen3-VL-2B") model = Qwen3VLForProactiveMDM.from_pretrained("interlive/STRIDE-R002-PMDM-Qwen3-VL-2B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c71e91c45b49ce3c121aefad719574aa6da04123c100fc3f890a489382a6671a
- Size of remote file:
- 11.4 MB
- SHA256:
- 3e2961f6a112e2a3ee9ddbf650d652cc267fbbd555008bbfb3faeb7baa084601
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