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MIMIC-medical-report
foundationmodels/MIMIC-medical-report
MIMIC-medical-report is a text generation model from foundationmodels. Use it when you need the model to write or continue text. It is set up for transformers.
This project presents a fine-tuned model based on Microsoft's PHI-2, trained on the MIMIC dataset using Python and PyTorch. Leveraging Hugging Face's Transformers library, this model significantly enhances AI's capaci…
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- phi-msft
- Access
- Public
- Created
- Feb 4, 2024
- Updated
- Oct 28, 2024
- SHA
- 473ea205
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Model card
From the Hugging Face model README
MIMIC-Medical-Report Model
Overview
This project presents a fine-tuned model based on Microsoft's PHI-2, trained on the MIMIC dataset using Python and PyTorch. Leveraging Hugging Face's Transformers library, this model significantly enhances AI's capacity to extract critical medical insights, improving diagnostic accuracy in healthcare.
Features
- Model Architecture: Fine-tuned PHI-2 model using Transformer-based architecture
- Dataset: MIMIC medical dataset, preprocessed to ensure high data integrity
- Purpose: Assists in generating detailed medical reports, extracting key insights to support clinical decisions
- Task
- Text Generation
- Library
- transformers
- Type
- phi-msft
- Created
- Feb 4, 2024
- Updated
- Oct 28, 2024