This Python program classifies patient descriptions into "Low," "Moderate," and "Severe" categories based on their feelings using Hugging Face’s pre-trained models. It applies transfer learning to fine-tune a French model for Lingala (DR Congo), enabling effective text classification in a multilingual healthcare context without TF-IDF.
# lingala_triage
This Python program classifies patient descriptions into "Low," "Moderate," and "Severe" categories based on their feelings using Hugging Face’s pre-trained models. It applies transfer learning to fine-tune a French model for Lingala (DR Congo), enabling effective text classification in a multilingual healthcare context without TF-IDF.
Here is attached the paper published at PMLR319:
raw.githubusercontent.com