d4data-biomedical-ner-all
Version: 10
d4data/biomedical-ner-all is a pre-trained language model available on the Hugging Face Hub. It's specifically designed for the token-classification task in the transformers library. If you want to learn more about the model's architecture, hyperparameters, limitations, and biases, you can find this information on the model's dedicated Model Card on the Hugging Face Hub .
Here's an example API request payload that you can use to obtain predictions from the model:
{
"inputs": "CASE: A 28-year-old previously healthy man presented with a 6-week history of palpitations. The symptoms occurred during rest, 2\u20133 times per week, lasted up to 30 minutes at a time and were associated with dyspnea. Except for a grade 2/6 holosystolic tricuspid regurgitation murmur (best heard at the left sternal border with inspiratory accentuation), physical examination yielded unremarkable findings."
}
Model Specifications
LicenseApache-2.0
Last UpdatedJuly 2023
ProviderHugging Face