模型优化问题

[arcral]

Describe the feature and the current behavior/state. 我想问一下是否可以考虑使用tensorflow-lite或者openvino作为推理后端，这样的话可以避免依赖整个tensorflow或pytorch库，也能提高加载速度，对于gpu资源不是很丰富的用户也更加友好，能够提升桌面cpu端的推理速度。 如果使用transformer的话，是否可以使用模型蒸馏减少堆叠层数（例如, DistilBert），同样能提升推理速度

Will this change the current api? How? no

Who will benefit with this feature? everyone who use this

Are you willing to contribute it (Yes/No): 可以做，但是可能没有足够的资源做

System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
• Python version:
• HanLP version: v2.0.0-alpha.0

Any other info no

• [x] I've carefully completed this form.

[hankcs]

Thank you for your advices. In alpha stage, I mostly focus on replicating/improving SOTA papers. I will look into the engineer part in the future. Deployment is not easy, contribution from everyone (especially industry users) is welcomed.

[hankcs]

论坛上的相关讨论：https://bbs.hankcs.com/t/topic/3834