Instructions to use interlive/STRIDE-R004-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-R004-PMDM-Qwen3-VL-2B with Transformers:
# Load model directly from transformers import AutoProcessor, Qwen3VLForProactiveMDM processor = AutoProcessor.from_pretrained("interlive/STRIDE-R004-PMDM-Qwen3-VL-2B") model = Qwen3VLForProactiveMDM.from_pretrained("interlive/STRIDE-R004-PMDM-Qwen3-VL-2B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfccc65128698847541e3349ecf45eb97bdb36182d9d9d68d7c5b3b3bdf915d9
- Size of remote file:
- 4.88 GB
- SHA256:
- 3bf433b056ca2696677bb3dd3407a8b9fde3862f9b2efb50d3ce065ea4db7a23
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