Instructions to use interlive/STRIDE-M001-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-M001-PMDM-Qwen3-VL-2B with Transformers:
# Load model directly from transformers import AutoProcessor, Qwen3VLForProactiveMDM processor = AutoProcessor.from_pretrained("interlive/STRIDE-M001-PMDM-Qwen3-VL-2B") model = Qwen3VLForProactiveMDM.from_pretrained("interlive/STRIDE-M001-PMDM-Qwen3-VL-2B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b996f22528c4d3adaf66ae28ea25cdfce0d5f29c7a27d5f26fc232e1b84bbb0d
- Size of remote file:
- 4.88 GB
- SHA256:
- c70737d89a55deb1aa3988c1ee6a358cb574da259cc1e70cf4b160e34047d8eb
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