Devgen Trocr Devanagari LoRA

--- base_model: paudelanil/trocr-devanagari-2 library_name: peft license: mit language: - ne - hi pipeline_tag: image-to-text tags: - base_model:adapter:paudelanil/trocr-devanagari-2 - lora - peft - transformers - trocr - devanagari - ocr datasets: - imagefolder --- # DevGen TrOCR Devanagari LoRA Adapter This repository contains the DevGen LoRA adapter for Devanagari OCR. It is intended to be loaded on top of `paudelanil/trocr-devanagari-2` with PEFT. ## Model Details - Developed by: Sameer Wagle / DevGen - Base model: `paudelanil/trocr-devanagari-2` - Adapter type: LoRA - Task: image-to-text OCR for Devanagari word and short-line images - Library: PEFT + Transformers ## Intended Use Use this adapter for recognizing Devanagari text from cropped handwritten or printed word images. The DevGen runtime also supports light preprocessing such as foreground cropping and square padding for uploaded document-like images. This model is not a general document understanding system. It does not perform page layout analysis, table extraction, translation, or language correction. ## Loading ```python from peft import PeftModel from transformers import AutoTokenizer, TrOCRProcessor, ViTImageProcessor, VisionEncoderDecoderModel base_model_id = "paudelanil/trocr-devanagari-2" adapter_id = "waglesameer5/devgen-trocr-devanagari-lora" image_processor = ViTImageProcessor.from_pretrained(adapter_id) tokenizer = AutoTokenizer.from_pretrained(base_model_id) processor = TrOCRProcessor(image_processor=image_processor, tokenizer=tokenizer) base_model = VisionEncoderDecoderModel.from_pretrained(base_model_id) model = PeftModel.from_pretrained(base_model, adapter_id) ``` ## Demo A hosted Gradio demo is available as a Hugging Face Space: `waglesameer5/devgen-devanagari-ocr` ## Limitations The adapter is most reliable on clear Devanagari word or short-line crops. Accuracy can degrade on very noisy images, multi-column documents, severe blur, extreme rotation, or text outside the training distribution. ## Training And Evaluation The adapter was trained in the DevGen OCR workspace using a LoRA fine-tuning workflow for TrOCR. The local project includes reproducible evaluation scripts for corpus character error rate, word error rate, exact match, and preprocessing ablations. ## Framework Versions - PEFT 0.19.1 - Transformers - PyTorch

Source context: 6 downloads · 0 likes · Pipeline image-to-text · Library peft · Repo waglesameer5/devgen-trocr-devanagari-lora

Source context: 3 downloads · 0 likes · Pipeline image-to-text · Library peft · Repo waglesameer5/devgen-trocr-devanagari-lora