dmis-lab/biobert-base-cased-v1.2 cover image

dmis-lab/biobert-base-cased-v1.2

BioBERT is a pre-trained biomedical language representation model for biomedical text mining based on original BERT and trained by DMIS-LAB

BioBERT is a pre-trained biomedical language representation model for biomedical text mining based on original BERT and trained by DMIS-LAB

Public
$0.0005 / sec
ProjectPaperLicense

HTTP/cURL API

You can use cURL or any other http client to run inferences:

curl -X POST \
    -d '{"input": "Where is my [MASK]?"}'  \
    -H "Authorization: bearer $DEEPINFRA_TOKEN"  \
    -H 'Content-Type: application/json'  \
    'https://api.deepinfra.com/v1/inference/dmis-lab/biobert-base-cased-v1.2'

which will give you back something similar to:

{
  "results": [
    {
      "sequence": "where is my father?",
      "score": 0.08898820728063583,
      "token": 2269,
      "token_str": "father"
    },
    {
      "sequence": "where is my mother?",
      "score": 0.07864926755428314,
      "token": 2388,
      "token_str": "mother"
    }
  ],
  "request_id": null,
  "inference_status": {
    "status": "unknown",
    "runtime_ms": 0,
    "cost": 0.0,
    "tokens_generated": 0,
    "tokens_input": 0
  }
}

Input fields

inputstring

text prompt, should include exactly one [MASK] token


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