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_target_: text_recognizer.network.transformer.transformer.Transformer
dim: &dim 768
num_classes: &num_classes 57
encoder:
_target_: text_recognizer.network.transformer.vit.Vit
image_height: 56
image_width: 1024
patch_height: 56
patch_width: 8
dim: *dim
encoder:
_target_: text_recognizer.network.transformer.encoder.Encoder
dim: *dim
heads: 16
dim_head: 64
ff_mult: 4
depth: 6
dropout_rate: 0.
use_rotary_emb: true
one_kv_head: false
channels: 1
patch_dropout: 0.4
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: false
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
|