Instructions to use hf-internal-testing/tiny-random-Dinov2Backbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Dinov2Backbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, Dinov2Backbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-Dinov2Backbone") model = Dinov2Backbone.from_pretrained("hf-internal-testing/tiny-random-Dinov2Backbone") - Notebooks
- Google Colab
- Kaggle
Update tiny models for Dinov2Backbone
#11
by hf-transformers-bot - opened
- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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@@ -33,6 +33,6 @@
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"stage2"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_swiglu_ffn": false
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}
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"stage2"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.34.0.dev0",
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"use_swiglu_ffn": false
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 146482
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version https://git-lfs.github.com/spec/v1
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oid sha256:51129e2f7ad5caa5fc900050a27df512f606e1087ccde78a609631b53bf0416f
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size 146482
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