Instructions to use interlive/STRIDE-A001-PMDM-Qwen3-VL-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use interlive/STRIDE-A001-PMDM-Qwen3-VL-4B with Transformers:
# Load model directly from transformers import AutoProcessor, Qwen3VLForProactiveMDM processor = AutoProcessor.from_pretrained("interlive/STRIDE-A001-PMDM-Qwen3-VL-4B") model = Qwen3VLForProactiveMDM.from_pretrained("interlive/STRIDE-A001-PMDM-Qwen3-VL-4B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88886ad592d57a2a3f4d5f01a9a4839990edae0e4cc074039f876979d9b4d3ed
- Size of remote file:
- 7.06 kB
- SHA256:
- 3f94dbdca46797656ccf7df62609fd9fcd999a34518a58cf7c9b5a1406be8ca9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.