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  MedBERT is a newly pre-trained transformer-based language model for biomedical named entity recognition: initialised with Bio_ClinicalBERT & pre-trained on N2C2, BioNLP and CRAFT community datasets.
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- ## How to use the model
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- Load the model via the transformers library:
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  ```
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  from transformers import AutoTokenizer, AutoModel
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  tokenizer = AutoTokenizer.from_pretrained("charangan/MedBERT")
 
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  MedBERT is a newly pre-trained transformer-based language model for biomedical named entity recognition: initialised with Bio_ClinicalBERT & pre-trained on N2C2, BioNLP and CRAFT community datasets.
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+ ## How to use
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  ```
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  from transformers import AutoTokenizer, AutoModel
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  tokenizer = AutoTokenizer.from_pretrained("charangan/MedBERT")