Suya OCR API — vLLM-backed, OpenAI-compatible OCR service

FastAPI service wrapping the Surya-OCR-2 model (datalab-to) served through vLLM: legacy /v1/api/ai/* endpoints, an OpenAI-compatible /v1/chat/completions endpoint, a coalescing request batcher, a local OCR CLI, Docker packaging, multilingual example outputs, and quantization/concurrency benchmarks. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-17 10:20:02 +04:00
commit 1a585693be
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+from transformers import PretrainedConfig
+
+from surya.common.s3 import S3DownloaderMixin
+
+
+class EfficientViTConfig(S3DownloaderMixin, PretrainedConfig):
+    r"""
+    ```"""
+
+    model_type = "efficientvit"
+
+    def __init__(
+        self,
+        num_classes=2,
+        num_channels=3,
+        widths=(32, 64, 128, 256, 512),
+        head_dim=32,
+        num_stages=4,
+        depths=(1, 1, 1, 6, 6),
+        strides=(2, 2, 2, 2, 2),
+        hidden_sizes=(32, 64, 160, 256),
+        patch_size=(7, 7),
+        hidden_dropout_prob=0.0,
+        attention_probs_dropout_prob=0.0,
+        classifier_dropout_prob=0.0,
+        layer_norm_eps=1e-6,
+        decoder_layer_hidden_size=128,
+        decoder_hidden_size=512,
+        semantic_loss_ignore_index=255,
+        initializer_range=0.02,
+        **kwargs,
+    ):
+        super().__init__(**kwargs)
+
+        self.num_classes = num_classes
+        self.widths = widths
+        self.head_dim = head_dim
+
+        self.num_channels = num_channels
+        self.num_stages = num_stages
+        self.depths = depths
+        self.strides = strides
+        self.hidden_sizes = hidden_sizes
+        self.patch_size = patch_size
+        self.hidden_dropout_prob = hidden_dropout_prob
+        self.attention_probs_dropout_prob = attention_probs_dropout_prob
+        self.classifier_dropout_prob = classifier_dropout_prob
+        self.layer_norm_eps = layer_norm_eps
+        self.decoder_hidden_size = decoder_hidden_size
+        self.decoder_layer_hidden_size = decoder_layer_hidden_size
+        self.semantic_loss_ignore_index = semantic_loss_ignore_index
+
+        self.initializer_range = initializer_range