Instructions to use interlive/STRIDE-R003-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-R003-PMDM-Qwen3-VL-2B with Transformers:
# Load model directly from transformers import AutoProcessor, Qwen3VLForProactiveMDM processor = AutoProcessor.from_pretrained("interlive/STRIDE-R003-PMDM-Qwen3-VL-2B") model = Qwen3VLForProactiveMDM.from_pretrained("interlive/STRIDE-R003-PMDM-Qwen3-VL-2B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb318886180f268c0c02ec9ede02e05b90daf89a1d0d164f6811cb1e382c23ac
- Size of remote file:
- 4.88 GB
- SHA256:
- 6dda0d20ef121f7899d0c0f74dc52309cc847dd1ff2bd19809557707558dd1f0
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