Image Feature Extraction
Transformers
Safetensors
page
feature-extraction
gaze-estimation
gaze-target-estimation
dinov3
custom_code
Instructions to use Octopus1/page-vithplus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Octopus1/page-vithplus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Octopus1/page-vithplus", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Octopus1/page-vithplus", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Migrate DINOv3 checkpoint keys for transformers 5.x
Browse files
config.json
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"transformers_version": "
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"use_head_prompt": false,
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"auto_map": {
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"AutoConfig": "Octopus1/PaGE--modeling_page.PaGEConfig",
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"AutoModel": "Octopus1/PaGE--modeling_page.PaGEModel"
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"transformers_version": "5.6.2",
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"use_head_prompt": false,
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"auto_map": {
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"AutoConfig": "Octopus1/PaGE--modeling_page.PaGEConfig",
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"AutoModel": "Octopus1/PaGE--modeling_page.PaGEModel"
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}
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}
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model-00001-of-00004.safetensors
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model-00002-of-00004.safetensors
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model-00003-of-00004.safetensors
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model-00004-of-00004.safetensors
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model.safetensors.index.json
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