Upload google_medgemma-4b-it_1.py with huggingface_hub

google_medgemma-4b-it_1.py

@@ -7,11 +7,10 @@
 # ///
 
 try:
-    # Load model directly
-    from transformers import AutoProcessor, AutoModelForImageTextToText
+    # Use a pipeline as a high-level helper
+    from transformers import pipeline
     
-    processor = AutoProcessor.from_pretrained("google/medgemma-4b-it")
-    model = AutoModelForImageTextToText.from_pretrained("google/medgemma-4b-it")
+    pipe = pipeline("image-text-to-text", model="google/medgemma-4b-it")
     messages = [
         {
             "role": "user",
@@ -21,16 +20,7 @@ try:
             ]
         },
     ]
-    inputs = processor.apply_chat_template(
-    	messages,
-    	add_generation_prompt=True,
-    	tokenize=True,
-    	return_dict=True,
-    	return_tensors="pt",
-    ).to(model.device)
-    
-    outputs = model.generate(**inputs, max_new_tokens=40)
-    print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))
+    pipe(text=messages)
     with open('google_medgemma-4b-it_1.txt', 'w') as f:
         f.write('Everything was good in google_medgemma-4b-it_1.txt')
 except Exception as e: