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README.md CHANGED
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  # VetBERT Disease Syndrome Classifier
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  <!-- Provide a quick summary of what the model is/does. -->
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  This pretrained model is designed for performing NLP tasks related to veterinary clinical notes. The [Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes](https://aclanthology.org/2020.bionlp-1.17) (Hur et al., BioNLP 2020) paper introduced VetBERT model: an initialized Bert Model with ClinicalBERT (Bio+Clinical BERT) and further pretrained on the [VetCompass Australia](https://www.vetcompass.com.au/) corpus for performing tasks specific to veterinary medicine.
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- There is also a finetuned version of the VetBERT model called [VetBERTDx](https://huggingface.co/havocy28/VetBERTDx), designed to classify the disease syndrome within a veterinary clinical note.
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  ## Pretraining Data
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  The VetBERT model was initialized from [Bio_ClinicalBERT model](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT), which was initialized from BERT. The VetBERT model was trained on over 15 million veterinary clincal Records and 1.3 Billion tokens.
 
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  # VetBERT Disease Syndrome Classifier
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+ This is a finetuned version of the VetBERT model, designed to classify the disease syndrome within a veterinary clinical note.
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  <!-- Provide a quick summary of what the model is/does. -->
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  This pretrained model is designed for performing NLP tasks related to veterinary clinical notes. The [Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes](https://aclanthology.org/2020.bionlp-1.17) (Hur et al., BioNLP 2020) paper introduced VetBERT model: an initialized Bert Model with ClinicalBERT (Bio+Clinical BERT) and further pretrained on the [VetCompass Australia](https://www.vetcompass.com.au/) corpus for performing tasks specific to veterinary medicine.
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  ## Pretraining Data
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  The VetBERT model was initialized from [Bio_ClinicalBERT model](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT), which was initialized from BERT. The VetBERT model was trained on over 15 million veterinary clincal Records and 1.3 Billion tokens.
vocab.txt ADDED
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