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interlive
/
STRIDE-M009-PMDM-Qwen3-VL-2B

Transformers
Safetensors
qwen3_vl
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use interlive/STRIDE-M009-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-M009-PMDM-Qwen3-VL-2B with Transformers:

    # Load model directly
    from transformers import AutoProcessor, Qwen3VLForProactiveMDM
    
    processor = AutoProcessor.from_pretrained("interlive/STRIDE-M009-PMDM-Qwen3-VL-2B")
    model = Qwen3VLForProactiveMDM.from_pretrained("interlive/STRIDE-M009-PMDM-Qwen3-VL-2B")
  • Notebooks
  • Google Colab
  • Kaggle
STRIDE-M009-PMDM-Qwen3-VL-2B
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  • 1 contributor
History: 10 commits
arkimjh's picture
arkimjh
Model save
bb02b48 verified 3 months ago
  • .gitattributes
    1.57 kB
    Training in progress, step 1000 3 months ago
  • README.md
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  • added_tokens.json
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  • chat_template.jinja
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  • config.json
    1.78 kB
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  • generation_config.json
    199 Bytes
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  • merges.txt
    1.67 MB
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  • model.safetensors
    4.88 GB
    xet
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  • preprocessor_config.json
    782 Bytes
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
    6.13 kB
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  • trainer_state.json
    1.29 MB
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  • training_args.bin
    7.62 kB
    xet
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  • video_preprocessor_config.json
    818 Bytes
    Training in progress, step 1000 3 months ago
  • vocab.json
    2.78 MB
    Training in progress, step 1000 3 months ago