Update README.md

README.md

@@ -11,4 +11,21 @@ Vision Encoder Decoder Models
 - Use microsoft/trocr-base-handwritten as encoder.
 - Use airesearch/wangchanberta-base-att-spm-uncased as decoder 
 - Fine-tune on 250k synthetic text images dataset using [ThaiGov V2 Corpus](https://github.com/PyThaiNLP/thaigov-v2-corpus)
-- It is useful to fine-tune any Thai OCR task.
+- Use [SynthTIGER](https://github.com/clovaai/synthtiger) to generate synthetic text image.
+- It is useful to fine-tune any Thai OCR task.
+
+# Usage
+
+```
+from transformers import TrOCRProcessor, VisionEncoderDecoderModel
+
+processor = TrOCRProcessor.from_pretrained("kkatiz/ocr-nithan")
+model = VisionEncoderDecoderModel.from_pretrained("kkatiz/ocr-nithan")
+
+image = Image.open(img_path).convert("RGB")
+pixel_values = processor(image, return_tensors="pt").pixel_values
+generated_ids = model.generate(pixel_values)
+
+generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
+print(generated_text)
+```