csarron/bert-base-uncased-squad-v1
We present a fine-tuned BERT-base uncased model for question answering on the SQuAD v1 dataset. Our model achieves an exact match score of 80.9104 and an F1 score of 88.2302 without any hyperparameter search.
We present a fine-tuned BERT-base uncased model for question answering on the SQuAD v1 dataset. Our model achieves an exact match score of 80.9104 and an F1 score of 88.2302 without any hyperparameter search.
Public
$0.0005 / sec
HTTP/cURL API
You can use cURL or any other http client to run inferences:
curl -X POST \
-d '{"question": "Who jumped?", "context": "The quick brown fox jumped over the lazy dog."}' \
-H "Authorization: bearer $DEEPINFRA_TOKEN" \
-H 'Content-Type: application/json' \
'https://api.deepinfra.com/v1/inference/csarron/bert-base-uncased-squad-v1'
which will give you back something similar to:
{
"answer": "fox",
"score": 0.1803228110074997,
"start": 16,
"end": 19,
"request_id": null,
"inference_status": {
"status": "unknown",
"runtime_ms": 0,
"cost": 0.0,
"tokens_generated": 0,
"tokens_input": 0
}
}
Input fields
webhookfile
The webhook to call when inference is done, by default you will get the output in the response of your inference request
