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  short_description: This Space demonstrates a Transformer-based clinical Named E
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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  short_description: This Space demonstrates a Transformer-based clinical Named E
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+ # Clinical NER with Text
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+ This Space demonstrates a Transformer-based clinical Named Entity Recognition (NER) application with a bonus multimodal audio → text pipeline.
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+ - **Text tab:** Extracts biomedical entities from user-provided clinical text.
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+ - **Audio tab:** Transcribes short speech using Whisper and runs the same NER on the transcript.
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+ > **Disclaimer**: Research/education demo only. Not a medical device and not for clinical use.
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+ ## Models
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+ - NER: `d4data/biomedical-ner-all`
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+ - ASR: `openai/whisper-tiny.en`
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+ ## Run locally
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+ ```bash
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+ pip install -r requirements.txt
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+ python app.py
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference