deepset/roberta-large-squad2 cover image

deepset/roberta-large-squad2

This is the roberta-large model, fine-tuned using the SQuAD2.0 dataset.

This is the roberta-large model, fine-tuned using the SQuAD2.0 dataset.

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 $(deepctl auth token)"  \
    -H 'Content-Type: application/json'  \
    'https://api.deepinfra.com/v1/inference/deepset/roberta-large-squad2'

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