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:
- bfcee2d30e4be2325284371ff1c14785ff0e1957796c5f9e0e9a3472e9214832
- Size of remote file:
- 4.88 GB
- SHA256:
- 50677b3fd20e6ffae83577b30f6736e7f693de10fd5b815366e12661a369496e
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