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BLOOMZ-Medical
tchebonenko/BLOOMZ-Medical
BLOOMZ-Medical is a machine learning model from tchebonenko. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
The model is based on BLOOMZ-3B a large language model trained by the BigScience team. <br The full paper is available here.<br The model is a created using peft, transformers, and bitsandbytes.<br
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Public
Updated May 29, 2023
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9.9 MB
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At a glance
- Access
- Public
- Created
- May 29, 2023
- Updated
- May 29, 2023
- SHA
- 60335729
Model card
From the Hugging Face model README
Fine-tuned BLOOMZ medical
The model is based on BLOOMZ-3B a large language model trained by the BigScience team. <br> The full paper is available here.<br> The model is a created using peft, transformers, and bitsandbytes.<br>
The goal of the model
Using a transcript of a patient visit with his/her general health care provider (GP) recommend where that patient should be referred to and extract the main keywords from the transcript. <br> For example, if a patient has allergy-related concerns, then GP needs to refer that patient to the allergy/immunology department or an immunology doctor available. <br><br> Extracted keywords are there to help the doctor in making the final decision of what to recommend to the patient. <br><br>
dataset for fine-tuning:
- tchebonenko/MedicalTranscriptions
- Created
- May 29, 2023
- Updated
- May 29, 2023