开发者社区 > ModelScope模型即服务 > 自然语言处理 > 正文

modelscope-funasr的输出受pytorch版本的影响?

modelscope-funasr的输出受pytorch版本的影响?用cpu版正常输出,但是gpu版就输出为空\lib\site-packages\funasr\train_utils\load_pretrained_model.py:38: FutureWarning: You are using torch.load with weights_only=False (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for weights_only will be flipped to True. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via torch.serialization.add_safe_globals. We recommend you start setting weights_only=True for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
src_state = torch.load(path, map_location=map_location)

展开
收起
三分钟热度的鱼 2024-08-07 20:42:18 43 0
1 条回答
写回答
取消 提交回答
  • 是模型没有load,你可以在load那里设置断点,debug一下就知道了 此回答整理自钉群“modelscope-funasr社区交流”

    2024-08-07 22:20:59
    赞同 12 展开评论 打赏

包含命名实体识别、文本分类、分词、关系抽取、问答、推理、文本摘要、情感分析、机器翻译等多个领域

热门讨论

热门文章

相关电子书

更多
视觉AI能力的开放现状及ModelScope实战 立即下载
ModelScope助力语音AI模型创新与应用 立即下载
低代码开发师(初级)实战教程 立即下载