HDF5 file, superblock version 0
group /
	attribute backend = "tensorflow"
	attribute keras_version = "2.11.0"
	attribute layer_names = "deit"
group /deit
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group /deit/tf_dei_t_model
group /deit/tf_dei_t_model/deit
group /deit/tf_dei_t_model/deit/embeddings
dataset /deit/tf_dei_t_model/deit/embeddings/cls_token:0: float32, shape (1, 1, 32)
dataset /deit/tf_dei_t_model/deit/embeddings/distillation_token:0: float32, shape (1, 1, 32)
group /deit/tf_dei_t_model/deit/embeddings/patch_embeddings
group /deit/tf_dei_t_model/deit/embeddings/patch_embeddings/projection
dataset /deit/tf_dei_t_model/deit/embeddings/patch_embeddings/projection/bias:0: float32, shape (32)
dataset /deit/tf_dei_t_model/deit/embeddings/patch_embeddings/projection/kernel:0: float32, shape (2, 2, 3, 32)
dataset /deit/tf_dei_t_model/deit/embeddings/position_embeddings:0: float32, shape (1, 227, 32)
group /deit/tf_dei_t_model/deit/encoder
group /deit/tf_dei_t_model/deit/encoder/layer_._0
group /deit/tf_dei_t_model/deit/encoder/layer_._0/attention
group /deit/tf_dei_t_model/deit/encoder/layer_._0/attention/attention
group /deit/tf_dei_t_model/deit/encoder/layer_._0/attention/attention/key
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dataset /deit/tf_dei_t_model/deit/encoder/layer_._0/attention/attention/key/kernel:0: float32, shape (32, 32)
group /deit/tf_dei_t_model/deit/encoder/layer_._0/attention/attention/query
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dataset /deit/tf_dei_t_model/deit/encoder/layer_._0/attention/attention/query/kernel:0: float32, shape (32, 32)
group /deit/tf_dei_t_model/deit/encoder/layer_._0/attention/attention/value
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dataset /deit/tf_dei_t_model/deit/encoder/layer_._0/attention/attention/value/kernel:0: float32, shape (32, 32)
group /deit/tf_dei_t_model/deit/encoder/layer_._0/attention/output
group /deit/tf_dei_t_model/deit/encoder/layer_._0/attention/output/dense
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group /deit/tf_dei_t_model/deit/encoder/layer_._0/intermediate
group /deit/tf_dei_t_model/deit/encoder/layer_._0/intermediate/dense
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group /deit/tf_dei_t_model/deit/encoder/layer_._0/output
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group /deit/tf_dei_t_model/deit/pooler
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group /top_level_model_weights
	attribute weight_names = (float64, not shown)