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wangzeze
/
ObjectRelator-Exo2Ego-Small

Image Segmentation
Transformers
Safetensors
English
llava_phi
multimodal
vision-language
segmentation
ego-centric
Model card Files Files and versions
xet
Community

Instructions to use wangzeze/ObjectRelator-Exo2Ego-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wangzeze/ObjectRelator-Exo2Ego-Small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="wangzeze/ObjectRelator-Exo2Ego-Small")
    # Load model directly
    from transformers import PSALM_SSL_MultiCondition
    model = PSALM_SSL_MultiCondition.from_pretrained("wangzeze/ObjectRelator-Exo2Ego-Small", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ObjectRelator-Exo2Ego-Small
6.35 GB
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  • 1 contributor
History: 2 commits
wangzeze's picture
wangzeze
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af7145c verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    202 Bytes
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  • added_tokens.json
    1.12 kB
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  • config.json
    1.39 kB
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  • generation_config.json
    111 Bytes
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  • merges.txt
    456 kB
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  • model-00001-of-00002.safetensors
    4.98 GB
    xet
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  • model-00002-of-00002.safetensors
    1.38 GB
    xet
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  • model.safetensors.index.json
    87.3 kB
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  • special_tokens_map.json
    579 Bytes
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  • tokenizer_config.json
    7.78 kB
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  • vocab.json
    999 kB
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