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:
- b6a4267d969c3e716041f2c19e48f3ac4169023692afa58abc2d76b9a88abc5c
- Size of remote file:
- 4.88 GB
- SHA256:
- 20c5bd7ab9419397017c2bd60b95a8f7942bca834d31fa8647b9c733e04b3212
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