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thealper2/LaTeX_OCR_rec-im2latex

image-to-text model by thealper2

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PaddleOCR LaTeXOCRrec fine-tuned for printed formula image → LaTeX recognition on a 200,000-sample subset of AlFrauch/im2latex. Architecture, tokenizer, preprocessing and decoding are identical to PaddleOCR v3.7.0; only the weights changed. Output (tab-separated): Use --cpu for CPU inference. The exported files follow the same format as PaddlePaddle/LaTeXOCRrec (Global.modelname: LaTeXOCRrec). Note that tools/infer/predictrec.py in PaddleOCR v3.7.0 rejects LaTeXOCRrec inference directories. To continue training, set Global.pretrainedmodel in a PaddleOCR LaTeXOCRrec config to bestaccuracy (without extension). Validation subset: 2,000 images sampled from the validation split (seed 0). Metrics as…

thealper2/LaTeX_OCR_rec-im2latex on Hugging Face A short preview, not the full document.

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  1. LaTeXOCRrec fine-tuned on AlFrauch/im2latex
  2. Model
  3. Files
  4. Usage
  5. Training data
  6. Training procedure
  7. Evaluation
  8. Limitations
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Model overview

thealper2/LaTeX_OCR_rec-im2latex is a image-to-text model repository published by thealper2 on Hugging Face. The source reports the paddleocr library.

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Model facts

Task
image-to-text
Library
paddleocr
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-09-15T06:20:34.000Z
Last modified
2026-09-15T06:24:25.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: PaddlePaddle/LaTeX_OCR_rec

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-09-15T06:34:03.805Z. Daily imports are snapshots, not real-time monitoring.

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