yanekyuk-bert-uncased-keyword-extractor
Version: 5
yanekyuk/bert-uncased-keyword-extractor 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": "Broadcom agreed to acquire cloud computing company VMware in a $61 billion (\u20ac57bn) cash-and stock deal, massively diversifying the chipmaker\u2019s business and almost tripling its software-related revenue to about 45% of its total sales. By the numbers: VMware shareholders will receive either $142.50 in cash or 0.2520 of a Broadcom share for each VMware stock. Broadcom will also assume $8 billion of VMware's net debt."
}
Model Specifications
LicenseApache-2.0
Last UpdatedMay 2023
PublisherHuggingFace