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jcwang0602
/
MLLMSeg_InternVL2_5_4B_RES

Image Segmentation
Transformers
Safetensors
internvl_chat
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use jcwang0602/MLLMSeg_InternVL2_5_4B_RES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jcwang0602/MLLMSeg_InternVL2_5_4B_RES with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="jcwang0602/MLLMSeg_InternVL2_5_4B_RES", trust_remote_code=True)
    # Load model directly
    from transformers import MLLMSeg
    model = MLLMSeg.from_pretrained("jcwang0602/MLLMSeg_InternVL2_5_4B_RES", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MLLMSeg_InternVL2_5_4B_RES
7.5 GB
Ctrl+K
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  • 2 contributors
History: 3 commits
jcwang0602's picture
jcwang0602
nielsr's picture
nielsr HF Staff
Add comprehensive model card for MLLMSeg_InternVL2_5_4B_RES (#1)
092e5e9 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    7.53 kB
    Add comprehensive model card for MLLMSeg_InternVL2_5_4B_RES (#1) 9 months ago
  • added_tokens.json
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  • config.json
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  • generation_config.json
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  • merges.txt
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  • model-00001-of-00002.safetensors
    4.99 GB
    xet
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  • model-00002-of-00002.safetensors
    2.49 GB
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  • model.safetensors.index.json
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  • special_tokens_map.json
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  • tokenizer.json
    7.03 MB
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  • tokenizer_config.json
    9.39 kB
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  • vocab.json
    2.78 MB
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