| """AshishOCR model configuration"""
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|
|
| from transformers.configuration_utils import PretrainedConfig
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|
|
|
|
| class AshishOcrVisionConfig(PretrainedConfig):
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| """Configuration class for AshishOCR vision encoder."""
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|
|
| model_type = "ashish_ocr_vision"
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|
|
| def __init__(
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| self,
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| hidden_size=1024,
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| depth=24,
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| num_heads=16,
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| attention_bias=True,
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| intermediate_size=4096,
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| hidden_act="silu",
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| hidden_dropout_prob=0.0,
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| initializer_range=0.02,
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| image_size=336,
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| patch_size=14,
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| out_hidden_size=1536,
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| rms_norm_eps=1e-05,
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| spatial_merge_size=2,
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| temporal_patch_size=2,
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| **kwargs,
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| ):
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| super().__init__(**kwargs)
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| self.hidden_size = hidden_size
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| self.depth = depth
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| self.num_heads = num_heads
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| self.attention_bias = attention_bias
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| self.intermediate_size = intermediate_size
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| self.hidden_act = hidden_act
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| self.hidden_dropout_prob = hidden_dropout_prob
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| self.initializer_range = initializer_range
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| self.image_size = image_size
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| self.patch_size = patch_size
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| self.out_hidden_size = out_hidden_size
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| self.rms_norm_eps = rms_norm_eps
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| self.spatial_merge_size = spatial_merge_size
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| self.temporal_patch_size = temporal_patch_size
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|
|
|
|
| class AshishOcrTextConfig(PretrainedConfig):
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| """Configuration class for AshishOCR text decoder."""
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|
|
| model_type = "ashish_ocr_text"
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|
|
| def __init__(
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| self,
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| vocab_size=59392,
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| hidden_size=1536,
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| intermediate_size=4608,
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| num_hidden_layers=16,
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| num_attention_heads=16,
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| num_key_value_heads=8,
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| head_dim=128,
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| hidden_act="silu",
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| max_position_embeddings=131072,
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| initializer_range=0.02,
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| rms_norm_eps=1e-05,
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| use_cache=True,
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| tie_word_embeddings=False,
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| attention_bias=False,
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| attention_dropout=0.0,
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| pad_token_id=59246,
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| eos_token_id=None,
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| num_nextn_predict_layers=1,
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| rope_parameters=None,
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| dtype="bfloat16",
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| **kwargs,
|
| ):
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| super().__init__(**kwargs)
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| self.vocab_size = vocab_size
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| self.hidden_size = hidden_size
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| self.intermediate_size = intermediate_size
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| self.num_hidden_layers = num_hidden_layers
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| self.num_attention_heads = num_attention_heads
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| self.num_key_value_heads = num_key_value_heads
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| self.head_dim = head_dim
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| self.hidden_act = hidden_act
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| self.max_position_embeddings = max_position_embeddings
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| self.initializer_range = initializer_range
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| self.rms_norm_eps = rms_norm_eps
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| self.use_cache = use_cache
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| self.tie_word_embeddings = tie_word_embeddings
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| self.attention_bias = attention_bias
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| self.attention_dropout = attention_dropout
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| self.pad_token_id = pad_token_id
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| self.eos_token_id = eos_token_id if eos_token_id is not None else [59246, 59253]
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| self.num_nextn_predict_layers = num_nextn_predict_layers
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| self.rope_parameters = rope_parameters
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| self.dtype = dtype
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|
|
|
|
| class AshishOcrConfig(PretrainedConfig):
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| """Configuration class for AshishOCR multimodal model."""
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|
|
| model_type = "ashish_ocr"
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| sub_configs = {"text_config": AshishOcrTextConfig, "vision_config": AshishOcrVisionConfig}
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|
|
| def __init__(
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| self,
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| text_config=None,
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| vision_config=None,
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| image_start_token_id=59256,
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| image_end_token_id=59257,
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| video_start_token_id=59258,
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| video_end_token_id=59259,
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| image_token_id=59280,
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| video_token_id=59281,
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| **kwargs,
|
| ):
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| super().__init__(**kwargs)
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|
|
| if text_config is None:
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| text_config = {}
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| if vision_config is None:
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| vision_config = {}
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|
|
| self.text_config = AshishOcrTextConfig(**text_config)
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| self.vision_config = AshishOcrVisionConfig(**vision_config)
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|
|
| self.image_start_token_id = image_start_token_id
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| self.image_end_token_id = image_end_token_id
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| self.video_start_token_id = video_start_token_id
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| self.video_end_token_id = video_end_token_id
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| self.image_token_id = image_token_id
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| self.video_token_id = video_token_id
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|
|
|
|
| self.vocab_size = self.text_config.vocab_size
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| self.hidden_size = self.text_config.hidden_size
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|
|
