Image Feature Extraction
Transformers
Safetensors
page
feature-extraction
gaze-estimation
gaze-target-estimation
dinov3
custom_code
Instructions to use Octopus1/page-vits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Octopus1/page-vits with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Octopus1/page-vits", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Octopus1/page-vits", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Migrate DINOv3 checkpoint keys for transformers 5.x
Browse files- config.json +2 -2
- model.safetensors +2 -2
config.json
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512,
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512
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],
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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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}
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}
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512,
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512
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],
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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.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:6de1c3777b51f0a13745392046bd72812d9869f8034b9df6534b3183c43818a4
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size 236013844
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