hf-internal-testing-tiny-random-albertforquestionanswering
Version: 3
hf-internal-testing/tiny-random-AlbertForQuestionAnswering is a pre-trained language model available on the Hugging Face Hub. It's specifically designed for the question-answering 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": {
"question": "Where do I live?",
"context": "My name is Wolfgang and I live in Berlin"
}
}
Model Specifications
Last UpdatedMay 2023
PublisherHuggingFace