# Initialising BERT Model

**URL:** <https://discuss.huggingface.co/t/initialising-bert-model/42689>\
**Category:** Models\
**Created:** [June 9, 2023, 5:17pm UTC](https://discuss.huggingface.co/t/initialising-bert-model/42689 "2023-06-09T17:17:33Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Dhruv02](https://avatars.discourse-cdn.com/v4/letter/d/49beb7/32.png) [@Dhruv02](https://discuss.huggingface.co/u/Dhruv02)\
**Post date:** [June 9, 2023, 5:17pm UTC](https://discuss.huggingface.co/t/initialising-bert-model/42689/1 "2023-06-09T17:17:33Z")

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My task here is to perform NER on a dataset I have. I think the default entities are B-ORG, I-ORG, B-PER and so on (I am not sure if these are default). I am using AutoModelForTokenClassification, and the transformer model (“bert-base-multilingual-uncased”).  
I want the entities to be like (B-COLLEGE, I-COLLEGE, B-NAME, I-NAME and so on) in total im getting 8 entities “O” not included.  
How can I train the model to detect these entities?  
Will the model be trained on these entities when I train the model using a dataset or will I i have to initialize the model using these entities?