Instructions to use chizhikchi/Spanish_disease_finder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chizhikchi/Spanish_disease_finder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chizhikchi/Spanish_disease_finder")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chizhikchi/Spanish_disease_finder") model = AutoModelForTokenClassification.from_pretrained("chizhikchi/Spanish_disease_finder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -40,7 +40,7 @@ System description paper will be published in proceedings of 10th BioASQ Worksho
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```bibtex:
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@inproceedings{ChizhikovaEtAl:CLEF2022,
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title = {SINAI at CLEF 2022: Leveraging biomedical transformers to detect and normalize disease mentions},
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author = {Mariia Chizhikova and Jaime Collado-
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pages = {265--273},
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url = {http://ceur-ws.org/Vol-XXX/#paper-17},
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crossref = {CLEF2022}}
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```bibtex:
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@inproceedings{ChizhikovaEtAl:CLEF2022,
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title = {SINAI at CLEF 2022: Leveraging biomedical transformers to detect and normalize disease mentions},
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author = {Mariia Chizhikova and Jaime Collado-Montañéz and Pilar López-Úbeda and Manuel C. Díaz-Galiano and L. Alfonso Ureña-López and M. Teresa Martín-Valdivia},
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pages = {265--273},
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url = {http://ceur-ws.org/Vol-XXX/#paper-17},
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crossref = {CLEF2022}}
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