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deepset/roberta-base-squad2-covid

We present a RoBERTa-based question answering model called roberta-base-squad2 for extractive QA on COVID-19 related texts. The model was trained on the SQuAD-style CORD-19 annotations and achieved promising results on 5-fold cross-validation.

We present a RoBERTa-based question answering model called roberta-base-squad2 for extractive QA on COVID-19 related texts. The model was trained on the SQuAD-style CORD-19 annotations and achieved promising results on 5-fold cross-validation.

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/deepset/roberta-base-squad2-covid'

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

questionstring

question relating to context


contextstring

question source material


webhookfile

The webhook to call when inference is done, by default you will get the output in the response of your inference request

Input Schema

Output Schema