Instructions to use IndianaUniversityDatasetsModels/MIMIC-Medical-Report-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IndianaUniversityDatasetsModels/MIMIC-Medical-Report-Generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IndianaUniversityDatasetsModels/MIMIC-Medical-Report-Generator") model = AutoModelForSeq2SeqLM.from_pretrained("IndianaUniversityDatasetsModels/MIMIC-Medical-Report-Generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1a4eabb0e5b8ee0c30f892fdeae16360c2b992f92b0a53714562b53e9a39039
- Size of remote file:
- 980 MB
- SHA256:
- df9116df12f1de44b6d22ddf1d31f6f7ab4ec8c0211393b8a13ed19ceee0f41a
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