Update README.md

README.md

@@ -1,3 +1,26 @@
 ---
 pipeline_tag: image-to-text
----
+---
+
+## Usage:
+```
+from transformers import BlipProcessor, BlipForConditionalGeneration
+import torch
+from PIL import Image
+
+processor = BlipProcessor.from_pretrained("prasanna2003/blip-image-captioning")
+if processor.tokenizer.eos_token is None:
+    processor.tokenizer.eos_token = '<|eos|>'
+model = BlipForConditionalGeneration.from_pretrained("prasanna2003/blip-image-captioning")
+
+image = Image.open('file_name.jpg').convert('RGB')
+
+prompt = """Instruction: Answer the following input according to the image.
+output: """
+
+inputs = processor(image, prompt, return_tensors="pt")
+
+output = model.generate(**inputs, max_length=100)
+print(tokenizer.decode(output[0]))
+
+```