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:
- ae47009d78456c211d062e5cffb00d1f979b5d8f3f334f14e60dc442c844848c
- Size of remote file:
- 7.06 kB
- SHA256:
- eb417d9d5985c6956b5bace7ad41ba67d24863c8af3b1c8be44f24e23bc865e9
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