nlp-console-examples

NLP Examples in Console

### Fill Mask examples

POST _ml/trained_models/bert-base-uncased/deployment/_infer 
{
  "docs": { "text_field": "Paris is the [MASK] of France."}
}

POST _ml/trained_models/bert-base-uncased/deployment/_infer 
{
  "docs": { "text_field": "Amsterdam is a city in the [MASK]."}
}

### Text Classification Examples

POST _ml/trained_models/distilbert-base-uncased-finetuned-sst-2-english/deployment/_infer 
{
  "docs": { "text_field": "I didn't like the soundtrack from the movie Dune"}
}

POST _ml/trained_models/distilbert-base-uncased-finetuned-sst-2-english/deployment/_infer 
{
  "docs": { "text_field": "That movie was awesome!"}
}

POST _ml/trained_models/distilbert-base-uncased-finetuned-sst-2-english/deployment/_infer 
{
  "docs": { "text_field": "Temperartures are average this year"}
}

### NER Examples

POST _ml/trained_models/dslim__bert-base-ner/deployment/_infer 
{
  "docs": { "text_field": "This is a pretty low quality and generic case study for Apple Inc with Intel"}
}

POST _ml/trained_models/dslim__bert-base-ner/deployment/_infer 
{
  "docs": { "text_field": "My name is Bob Marley and I work for Elastic which was founded in Amsterdam."}
}

POST _ml/trained_models/dslim__bert-base-ner/deployment/_infer 
{
  "docs": { "text_field": "European authorities fined Google a record $5.1 billion on Wednesday"}
}

### Zero Shot Classification Examples

POST _ml/trained_models/typeform__distilbert-base-uncased-mnli/deployment/_infer
{
  "docs": [
    {
      "text_field": "Water is coming through the ceiling!"
    }
  ],
  "inference_config": {
    "zero_shot_classification": {
      "labels": [
        "emergency",
        "plumbing",
        "home",
        "finance",
        "casual",
        "swimwear",
        "electricals",
        "car",
        "insurance",
        "mindfulness"
      ],
      "multi_label": true
    }
  }
}

POST _ml/trained_models/typeform__distilbert-base-uncased-mnli/deployment/_infer
{
  "docs": [
    {
      "text_field": "This is a very happy person"
    }
  ],
  "inference_config": {
    "zero_shot_classification": {
      "labels": [
        "glad",
        "sad",
        "bad",
        "rad"
      ],
      "multi_label": false
    }
  }
}