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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.

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  • 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")
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Unexpected keyword argument 'output_segmentation_mask'

1
#2 opened 8 months ago by
thewiseqzy
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