deepset/roberta-base-squad2
A pre-trained language model based on RoBERTa, fine-tuned on the SQuAD2.0 dataset for extractive question answering. It achieved scores of 79.87% exact match and 82.91% F1 score on the SQuAD2.0 dev set. Deepset is the company behind the open-source NLP framework Haystack, and offers other resources such as Distilled roberta-base-squad2, German BERT, and GermanQuAD datasets and models.
A pre-trained language model based on RoBERTa, fine-tuned on the SQuAD2.0 dataset for extractive question answering. It achieved scores of 79.87% exact match and 82.91% F1 score on the SQuAD2.0 dev set. Deepset is the company behind the open-source NLP framework Haystack, and offers other resources such as Distilled roberta-base-squad2, German BERT, and GermanQuAD datasets and models.
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'
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
