| --- |
| base_model: snxtyle/chitrapathak2 |
| library_name: peft |
| pipeline_tag: image-text-to-text |
| tags: |
| - lora |
| - ocr |
| - marathi |
| - gujarati |
| - chitrapathak |
| - peft |
| language: |
| - mr |
| - gu |
| --- |
| |
| # chitrapathak_marguj_mixed |
|
|
| One shared LoRA adapter for **Marathi** and **Gujarati** OCR on top of Chitrapathak-2. |
|
|
| ## What this is |
|
|
| - **Base model:** Chitrapathak-2 |
| - **Adapter type:** PEFT LoRA (r=32, α=64) |
| - **Languages:** Marathi + Gujarati in a **single** adapter |
| - **Not** language routing and **not** stacked Marathi-v7 + guj_v1 |
| |
| ## Load |
| |
| ```python |
| from peft import PeftModel |
| from transformers import AutoModelForImageTextToText, AutoProcessor |
| |
| base = "YOUR_BASE_OR_LOCAL_CHITRAPATHAK2" |
| adapter = "snxtyle/chitrapathak_marguj_mixed" |
| |
| model = AutoModelForImageTextToText.from_pretrained(base) |
| model = PeftModel.from_pretrained(model, adapter) |
| processor = AutoProcessor.from_pretrained(base) |
| ``` |
| |
| ## Frozen-100 (vs original base) |
| |
| | Language | Exact match | CER | Script accuracy | |
| |---|---:|---:|---:| |
| | Marathi | 44/100 (base 26/100) | 4.10% (base 5.56%) | 95% | |
| | Gujarati | 11/100 (base 0/100) | 10.61% (base 82.73%) | 100% | |
| |
| Source training checkpoint: bilingual reviewed MPS v2 step-414. |
| |
