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`import os os.environ['CUDA_VISIBLE_DEVICES'] = '0' os.environ['MAX_PIXELS'] = '1003520' os.environ['VIDEO_MAX_PIXELS'] = '50176' os.environ['FPS_MAX_FRAMES'] = '12'
from swift.llm import PtEngine, RequestConfig, InferRequest model = 'Qwen/Qwen2.5-VL-7B-Instruct'
engine = PtEngine(model, max_batch_size=2) request_config = RequestConfig(max_tokens=512, temperature=0)
infer_requests = [ InferRequest(messages=[{'role': 'user', 'content': '对该图像进行描述'}], images=['xxxx.png']) ] resp_list = engine.infer(infer_requests, request_config) query0 = infer_requests[0].messages[0]['content'] print(f'response0: {resp_list[0].choices[0].message.content}')`
使用上述代码进行推理,每次答案都一样,没有多样性,请问如何才能使答案多样性?谢谢!
The text was updated successfully, but these errors were encountered:
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`import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
os.environ['MAX_PIXELS'] = '1003520'
os.environ['VIDEO_MAX_PIXELS'] = '50176'
os.environ['FPS_MAX_FRAMES'] = '12'
from swift.llm import PtEngine, RequestConfig, InferRequest
model = 'Qwen/Qwen2.5-VL-7B-Instruct'
engine = PtEngine(model, max_batch_size=2)
request_config = RequestConfig(max_tokens=512, temperature=0)
infer_requests = [
对该图像进行描述'}],
InferRequest(messages=[{'role': 'user', 'content': '
images=['xxxx.png'])
]
resp_list = engine.infer(infer_requests, request_config)
query0 = infer_requests[0].messages[0]['content']
print(f'response0: {resp_list[0].choices[0].message.content}')`
使用上述代码进行推理,每次答案都一样,没有多样性,请问如何才能使答案多样性?谢谢!
The text was updated successfully, but these errors were encountered: