Update README.md

README.md

@@ -14,4 +14,34 @@ tags:
 base_model:
 - google/vit-base-patch16-224
 - ytu-ce-cosmos/turkish-gpt2
----
+---
+# vit-base-patch16-224-turkish-gpt2
+
+This vision encoder-decoder model utilizes the [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) as the encoder and [ytu-ce-cosmos/turkish-gpt2](https://huggingface.co/ytu-ce-cosmos/turkish-gpt2) as the decoder, and it has been fine-tuned on the [flickr8k-turkish](https://huggingface.co/datasets/atasoglu/flickr8k-turkish) dataset to generate image captions in Turkish.
+
+## Usage
+
+```py
+import torch
+from transformers import VisionEncoderDecoderModel, ViTImageProcessor, AutoTokenizer
+from PIL import Image
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+model_id = "atasoglu/vit-base-patch16-224-turkish-gpt2"
+img = Image.open("example.jpg")
+
+feature_extractor = ViTImageProcessor.from_pretrained(model_id)
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = VisionEncoderDecoderModel.from_pretrained(model_id)
+model.to(device)
+
+features = feature_extractor(images=[img], return_tensors="pt")
+pixel_values = features.pixel_values.to(device)
+
+generated_captions = tokenizer.batch_decode(
+    model.generate(pixel_values, max_new_tokens=128),
+    skip_special_tokens=True,
+)
+
+print(generated_captions)
+```