Instructions to use Hayato-T08/disease_diagnosis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hayato-T08/disease_diagnosis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hayato-T08/disease_diagnosis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hayato-T08/disease_diagnosis") model = AutoModelForSequenceClassification.from_pretrained("Hayato-T08/disease_diagnosis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Parent(s): cbb47b2
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README.md
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LABEL2disease
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('0', '(vertigo) Paroymsal Positional Vertigo')
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('37', 'Typhoid')
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('38', 'Urinary tract infection')
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('39', 'Varicose veins')
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('40', 'hepatitis A')
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---
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datasets:
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- shanover/disease_symptoms_prec_full
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---
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LABEL2disease
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('0', '(vertigo) Paroymsal Positional Vertigo')
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('37', 'Typhoid')
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('38', 'Urinary tract infection')
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('39', 'Varicose veins')
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('40', 'hepatitis A')
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