Instructions to use MVRL/rvsa_vitae_b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MVRL/rvsa_vitae_b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MVRL/rvsa_vitae_b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload config
Browse files- config.json +16 -0
config.json
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{
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"decoder_depth": 8,
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"decoder_embed_dim": 512,
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"decoder_num_heads": 16,
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"depth": 12,
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"embed_dim": 768,
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"img_size": 224,
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"in_chans": 3,
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"kernel": 3,
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"mlp_hidden_dim": null,
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"mlp_ratio": 4.0,
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"norm_pix_loss": false,
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"num_heads": 12,
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"patch_size": 16,
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"transformers_version": "4.44.1"
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}
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