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:
# pip install -U transformers accelerate # 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
Adding `safetensors` variant of this model
#3 opened almost 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot