Upload stepfun-ai_GELab-Zero-4B-preview_1.py with huggingface_hub

stepfun-ai_GELab-Zero-4B-preview_1.py

@@ -25,6 +25,25 @@ try:
     
     processor = AutoProcessor.from_pretrained("stepfun-ai/GELab-Zero-4B-preview")
     model = AutoModelForVision2Seq.from_pretrained("stepfun-ai/GELab-Zero-4B-preview")
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
+                {"type": "text", "text": "What animal is on the candy?"}
+            ]
+        },
+    ]
+    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]:]))
     with open('stepfun-ai_GELab-Zero-4B-preview_1.txt', 'w', encoding='utf-8') as f:
         f.write('Everything was good in stepfun-ai_GELab-Zero-4B-preview_1.txt')
 except Exception as e:
@@ -44,6 +63,25 @@ from transformers import AutoProcessor, AutoModelForVision2Seq
 
 processor = AutoProcessor.from_pretrained("stepfun-ai/GELab-Zero-4B-preview")
 model = AutoModelForVision2Seq.from_pretrained("stepfun-ai/GELab-Zero-4B-preview")
+messages = [
+    {
+        "role": "user",
+        "content": [
+            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
+            {"type": "text", "text": "What animal is on the candy?"}
+        ]
+    },
+]
+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]:]))
 ```
 
 ERROR: