Instructions to use Guen/BertFinetunedMIMICIII with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Guen/BertFinetunedMIMICIII with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Guen/BertFinetunedMIMICIII")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Guen/BertFinetunedMIMICIII") model = AutoModelForSequenceClassification.from_pretrained("Guen/BertFinetunedMIMICIII") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca175c93086e584a1d8e876b403775aa177f0a238541655ee649ee20fe867fff
- Size of remote file:
- 433 MB
- SHA256:
- 4535442bc62490d8d15609fb7b8f1fa67d2b93a569356fb29898236ee88549ea
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