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name: tableformer_fast_jpqd |
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description: TableFormer fast model for real-time table structure recognition, optimized with JPQD quantization |
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framework: ONNX |
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task: table-structure-recognition |
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domain: computer-vision |
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subdomain: document-analysis |
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model_info: |
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architecture: TableFormer (Transformer-based, optimized) |
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paper: "TableFormer: Table Structure Understanding With Transformers" |
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paper_url: "https://doi.org/10.1109/CVPR52688.2022.00457" |
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original_source: Docling |
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original_repo: "https://github.com/DS4SD/docling" |
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optimization: JPQD quantization |
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variant: fast |
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specifications: |
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input_shape: [1, 10] |
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input_type: int64 |
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input_format: Processed table features |
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output_shape: [1, 10] |
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output_type: float32 |
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batch_size: dynamic |
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performance: |
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teds_score_simple: "~94.0" |
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teds_score_complex: "~88.0" |
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teds_score_overall: "~91.0" |
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inference_time_cpu_ms: ~0.7 |
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accuracy_retention: ">95%" |
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speed_improvement: "~30% faster than accurate variant" |
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deployment: |
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runtime: onnxruntime |
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hardware: CPU-optimized |
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precision: INT8 weights, FP32 activations |
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memory_usage_mb: ~25 |
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usage: |
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preprocessing: |
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- Extract table regions from document images |
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- Apply TableFormer-specific preprocessing |
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- Convert to model input format |
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postprocessing: |
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- Parse table structure predictions |
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- Extract cell boundaries and types |
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- Generate structured table representation |
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benchmarks: |
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dataset: PubTabNet, FinTabNet |
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metric: TEDS (Tree-Edit-Distance-based Similarity) |
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trade_off: "Balanced accuracy vs speed" |
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use_case: "Real-time applications, bulk processing" |
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applications: |
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- Real-time document processing |
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- Interactive table extraction |
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- Bulk document conversion |
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- Mobile applications |
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- Edge deployment scenarios |
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- High-throughput pipelines |
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recommended_for: |
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- Interactive applications |
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- Real-time processing requirements |
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- Resource-constrained environments |
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- Batch processing workflows |
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- Mobile and edge deployment |
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license: cdla-permissive-2.0 |
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tags: |
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- table-structure-recognition |
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- tableformer |
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- document-analysis |
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- onnx |
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- quantized |
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- jpqd |
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- docling |
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- fast |
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- real-time |
