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_target_: text_recognizer.network.convformer.Convformer
image_height: 7
image_width: 128
patch_height: 1
patch_width: 1
dim: &dim 512
num_classes: &num_classes 57
encoder:
_target_: text_recognizer.network.convnext.convnext.ConvNext
dim: 16
dim_mults: [2, 8, 32]
depths: [2, 2, 2]
attn: null
decoder:
_target_: text_recognizer.network.transformer.decoder.Decoder
dim: *dim
ff_mult: 4
heads: 12
dim_head: 64
depth: 6
dropout_rate: 0.
one_kv_head: true
token_embedding:
_target_: "text_recognizer.network.transformer.embedding.token.\
TokenEmbedding"
num_tokens: *num_classes
dim: *dim
use_l2: true
tie_embeddings: false
pad_index: 3
channels: 512
|
