Instructions to use hf-internal-testing/tiny-random-Swinv2Backbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Swinv2Backbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, Swinv2Backbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-Swinv2Backbone") model = Swinv2Backbone.from_pretrained("hf-internal-testing/tiny-random-Swinv2Backbone") - Notebooks
- Google Colab
- Kaggle
Update tiny models for Swinv2Backbone
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"stage3"
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_absolute_embeddings": false,
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"window_size": 2
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}
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"stage3"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.38.0.dev0",
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"use_absolute_embeddings": false,
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"window_size": 2
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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 sha256:95df9199ca41007d8f0f27426140adf08e83469084f55cc0edf771591912a37e
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size 308280
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