# How to start with monailabel for new models

**URL:** <https://discourse.slicer.org/t/how-to-start-with-monailabel-for-new-models/21063>\
**Category:** Support\
**Tags:** monailabel\
**Created:** [December 14, 2021, 10:55pm UTC](https://discourse.slicer.org/t/how-to-start-with-monailabel-for-new-models/21063 "2021-12-14T22:55:54Z")\
**Posts on this page:** 1\
**Showing post:** 65

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**Author:** ![mikebind](https://avatars.discourse-cdn.com/v4/letter/m/71e660/32.png) [@mikebind](https://discourse.slicer.org/u/mikebind)\
**Post date:** [June 6, 2022, 6:13pm UTC](https://discourse.slicer.org/t/how-to-start-with-monailabel-for-new-models/21063/65 "2022-06-06T18:13:02Z")

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Thanks so much for all of these details, @muratmaga! One thing I wondered about was since I am starting on just a single label, is there a pretrained model that I can start from? I read in @mangotee 's [comment above](https://discourse.slicer.org/t/how-to-start-with-monailabel-for-new-models/21063/6) that it sounds like this might be both possible and more quickly effective than training a new model from scratch. Back then (about 6 months ago), it sounds like there was more of a distinction between single label and multilabel models, and that the approach has become more unified since then. I understand that pretrained models are structured for a particular number of output labels, and that changing the number or labels means that a model needs to be trained from scratch. However, I also understand that when possible, transfer learning, where a model pre-trained on one task undergoes subsequent training to adapt it to another somewhat similar task, often works quite well. So, that’s why I’m interested in whether there is a way to start from some other single label model trained on another task (e.g. spleen segmentation). I am also interested in multilabel segmentations, so I will certainly also use the tips about starting from scratch in the future. Thanks!

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