Instructions to use interlive/STRIDE-M002-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-M002-PMDM-Qwen3-VL-2B with Transformers:
# Load model directly from transformers import AutoProcessor, Qwen3VLForProactiveMDM processor = AutoProcessor.from_pretrained("interlive/STRIDE-M002-PMDM-Qwen3-VL-2B") model = Qwen3VLForProactiveMDM.from_pretrained("interlive/STRIDE-M002-PMDM-Qwen3-VL-2B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f65b740d503eed423f67f9b1f9cdeb39d8deff17f1598820bd050783b793ef28
- Size of remote file:
- 7.06 kB
- SHA256:
- 0552501bdf07a12ab0f0e0a85063b0a4d6b6598650e7e91a36e244383357428f
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