Transformers
PyTorch
Enawené-Nawé
Enawené-Nawé
marian
text2text-generation
Trained with AutoTrain
chest X-ray report
machine translation
Instructions to use sindri101/radiology-report-en-zh-ft-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sindri101/radiology-report-en-zh-ft-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sindri101/radiology-report-en-zh-ft-base") model = AutoModelForSeq2SeqLM.from_pretrained("sindri101/radiology-report-en-zh-ft-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Targeting at large-scale translation of Chest X-ray reports
Description
This BART model was fine-tuned on MIMIC-CXR dataset, aiming to provide a conventionl tool to translate English chest x-ray report into Chinese.
During fine-tuning, it utilized 2k english chest x-ray reports and corresponding chinese version
All chinese reports used during fine-tuning were translated by ChatGPT
Validation Metrics
Loss: 0.925
SacreBLEU: 23.060
Gen len: 75.417
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