Instructions to use interlive/STRIDE-R001-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-R001-PMDM-Qwen3-VL-2B with Transformers:
# Load model directly from transformers import AutoProcessor, Qwen3VLForProactiveMDM processor = AutoProcessor.from_pretrained("interlive/STRIDE-R001-PMDM-Qwen3-VL-2B") model = Qwen3VLForProactiveMDM.from_pretrained("interlive/STRIDE-R001-PMDM-Qwen3-VL-2B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01927f1f438460a4540a5494e770d1fabff1a433e588ddcd8c235d4b504a0c7e
- Size of remote file:
- 4.88 GB
- SHA256:
- 7a0cfec118ed4a20f4bedbc166e02323d824da83d2948f641f79cab13263087d
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