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jcwang0602
/
MLLMSeg_InternVL2_5_2B_RES

Image Segmentation
Transformers
Safetensors
internvl_chat
custom_code
Model card Files Files and versions
xet
Community
2

Instructions to use jcwang0602/MLLMSeg_InternVL2_5_2B_RES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jcwang0602/MLLMSeg_InternVL2_5_2B_RES with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="jcwang0602/MLLMSeg_InternVL2_5_2B_RES", trust_remote_code=True)
    # Load model directly
    from transformers import MLLMSeg
    model = MLLMSeg.from_pretrained("jcwang0602/MLLMSeg_InternVL2_5_2B_RES", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MLLMSeg_InternVL2_5_2B_RES
4.47 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
jcwang0602's picture
jcwang0602
nielsr's picture
nielsr HF Staff
Improve model card for MLLMSeg: Add metadata, abstract, and usage example (#1)
54f5840 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    7.68 kB
    Improve model card for MLLMSeg: Add metadata, abstract, and usage example (#1) 9 months ago
  • added_tokens.json
    215 Bytes
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  • config.json
    5.76 kB
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  • generation_config.json
    115 Bytes
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  • model.safetensors
    4.47 GB
    xet
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  • special_tokens_map.json
    870 Bytes
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  • tokenization_internlm2.py
    8.79 kB
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  • tokenizer.model
    1.48 MB
    xet
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  • tokenizer_config.json
    4.37 kB
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