Update README.md

README.md

@@ -39,3 +39,29 @@ dataset = load_dataset("WeiChow/splash")
 for item in dataset:
     ...
 ```
+
+caption:
+```python
+from transformers import PaliGemmaProcessor, PaliGemmaForConditionalGeneration
+import torch
+from datasets import load_dataset
+from tqdm import tqdm
+from termcolor import cprint
+
+dataset = load_dataset("WeiChow/splash")
+
+model_id = "google/paligemma2-3b-ft-docci-448"
+model = PaliGemmaForConditionalGeneration.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="cuda").eval()
+processor = PaliGemmaProcessor.from_pretrained(model_id)
+
+for item in dataset:
+    model_inputs = processor(text="caption en", images=item['IMG'], return_tensors="pt").to(torch.bfloat16).to(model.device)
+    input_len = model_inputs["input_ids"].shape[-1]
+
+    with torch.inference_mode():
+        generation = model.generate(**model_inputs, max_new_tokens=30, do_sample=False)
+        generation = generation[0][input_len:]
+        decoded = processor.decode(generation, skip_special_tokens=True)
+        print(item['IMAGE_ID'])
+        cprint(decoded, 'cyan')
+```