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1from transformers import Qwen3VLForConditionalGeneration, AutoProcessor
2
3model = Qwen3VLForConditionalGeneration.from_pretrained(
4 "zjunlp/OceanGPT-o-8B-OceanPile-Sci", dtype="auto", device_map="auto"
5)
6
7processor = AutoProcessor.from_pretrained("zjunlp/OceanGPT-o-8B-OceanPile-Sci")
8
9messages = [
10 {
11 "role": "user",
12 "content": [
13 {
14 "type": "image",
15 "image": "file:///path/to/your/image.jpg",
16 },
17 {"type": "text", "text": "Describe this image."},
18 ],
19 }
20]
21
22# Preparation for inference
23inputs = processor.apply_chat_template(
24 messages,
25 tokenize=True,
26 add_generation_prompt=True,
27 return_dict=True,
28 return_tensors="pt"
29)
30inputs = inputs.to(model.device)
31
32# Inference: Generation of the output
33generated_ids = model.generate(**inputs, max_new_tokens=128)
34generated_ids_trimmed = [
35 out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
36]
37output_text = processor.batch_decode(
38 generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
39)
40print(output_text)