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README.md
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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
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