BERT base model (uncased)

  • v3

kylejmorris/bert_shareable

Deploy on Banana for fast, affordable, and easy deployment of BERT base model (uncased). Get results fast with our user-friendly interface, unbeatable pricing and speed. Click the button above to deploy this model now!

Readme

INPUT

{
  "prompt": "Paris is the [MASK] of France."
}

OUTPUT

[
  {
    "score": 0.997580885887146,
    "token": 3007,
    "token_str": "capital",
    "sequence": "paris is the capital of france"
  },
  {
    "score": 0.0004168384475633502,
    "token": 2415,
    "token_str": "center",
    "sequence": "paris is the center of france"
  },
  {
    "score": 0.00034646946005523205,
    "token": 2103,
    "token_str": "city",
    "sequence": "paris is the city of france"
  },
  {
    "score": 0.00030853183125145733,
    "token": 2540,
    "token_str": "heart",
    "sequence": "paris is the heart of france"
  },
  {
    "score": 0.0002590023505035788,
    "token": 2803,
    "token_str": "centre",
    "sequence": "paris is the centre of france"
  }
]
import banana_dev as banana

model_inputs = {
  "prompt": "Paris is the [MASK] of France."
}

api_key = "{YOUR_API_KEY}"
model_key = "{YOUR_MODEL_KEY}"

# Run the model
out = banana.run(api_key, model_key, model_inputs)

print(out) # show the output
logo