Update README.md

README.md

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 license: mit
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+
+# Model discription and Inference
+
+**Image to Text** modeli bu asosan pre-trained qilingan model ustiga fine-tuned qilindi juda kam dataset bilan.
+
+epoch soni : 50 ta
+loss: 0.03....
+train_time: o'rtacha 45 minute.
+
+
+*Dataset* image and uning dscription holatidan bo'ladi.
+
+misol uchun : 
+
+     ``` from datasets import load_dataset 
+         dataset = load_dataset("ybelkada/football-dataset", split="train")```
+
+
+### Usage model
+
+   ``` from transformers import AutoProcessor, BlipForConditionalGeneration
+
+       processor = AutoProcessor.from_pretrained("ai-nightcoder/Image2text")
+       model = BlipForConditionalGeneration.from_pretrained("ai-nightcoder/Image2text") ```
+
+      #### image olamiz
+      ``` example = dataset[0]
+          image = example["image"]
+          image ```
+
+
+     #### generate qismi.
+
+
+  ```inputs = processor(images=image, return_tensors="pt").to(device)
+    pixel_values = inputs.pixel_values
+    
+    generated_ids = model.generate(pixel_values=pixel_values, max_length=50)
+    generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
+    print(generated_caption) ```
+
+
+
+**Yuqorida ko'rsatgan tartibda modeldan foydalanishni tavsiya qilaman.**