turian/flair-pos-english – Run with an API on Replicate

turian / flair-pos-english

Run flair/pos-english on a JSON list of sentence strings

Cold

Public
52 runs
T4
GitHub
Paper
License

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=turian/flair-pos-english

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run turian/flair-pos-english using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "turian/flair-pos-english:e0f0f348c11530f6ed08edc30d736ba4da77036b62713b0c4612b52a689358ba",
  {
    input: {
      sentences_json: "[\"I love berlin.\", \"Deep neural networks are cool.\", \"Geoff Hinton is the father---Yoshua Bengio is the son---Yann LeCun is the holy ghost.\"]",
      mini_batch_size: 32
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run turian/flair-pos-english using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "turian/flair-pos-english:e0f0f348c11530f6ed08edc30d736ba4da77036b62713b0c4612b52a689358ba",
    input={
        "sentences_json": "[\"I love berlin.\", \"Deep neural networks are cool.\", \"Geoff Hinton is the father---Yoshua Bengio is the son---Yann LeCun is the holy ghost.\"]",
        "mini_batch_size": 32
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run turian/flair-pos-english using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "turian/flair-pos-english:e0f0f348c11530f6ed08edc30d736ba4da77036b62713b0c4612b52a689358ba",
    "input": {
      "sentences_json": "[\\"I love berlin.\\", \\"Deep neural networks are cool.\\", \\"Geoff Hinton is the father---Yoshua Bengio is the son---Yann LeCun is the holy ghost.\\"]",
      "mini_batch_size": 32
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

[{"text": "I love berlin.", "all labels": [{"value": "PRP", "confidence": 0.9999994039535522}, {"value": "VBP", "confidence": 0.9999959468841553}, {"value": "NN", "confidence": 0.6081405282020569}, {"value": ".", "confidence": 0.9999886751174927}], "token positions": [[0, 1], [2, 6], [7, 13], [13, 14]]}, {"text": "Deep neural networks are cool.", "all labels": [{"value": "JJ", "confidence": 0.9999175071716309}, {"value": "JJ", "confidence": 0.970643162727356}, {"value": "NNS", "confidence": 0.9999926090240479}, {"value": "VBP", "confidence": 1.0}, {"value": "JJ", "confidence": 0.9999996423721313}, {"value": ".", "confidence": 0.9999958276748657}], "token positions": [[0, 4], [5, 11], [12, 20], [21, 24], [25, 29], [29, 30]]}, {"text": "Geoff Hinton is the father---Yoshua Bengio is the son---Yann LeCun is the holy ghost.", "all labels": [{"value": "NNP", "confidence": 0.9999997615814209}, {"value": "NNP", "confidence": 1.0}, {"value": "VBZ", "confidence": 1.0}, {"value": "DT", "confidence": 1.0}, {"value": "NN", "confidence": 0.9999498128890991}, {"value": ":", "confidence": 0.9369075298309326}, {"value": "NNP", "confidence": 0.9999994039535522}, {"value": "NNP", "confidence": 0.9999998807907104}, {"value": "VBZ", "confidence": 1.0}, {"value": "DT", "confidence": 1.0}, {"value": "NN", "confidence": 0.9999871253967285}, {"value": ":", "confidence": 0.9893242716789246}, {"value": "NNP", "confidence": 0.9999842643737793}, {"value": "NNP", "confidence": 1.0}, {"value": "VBZ", "confidence": 1.0}, {"value": "DT", "confidence": 1.0}, {"value": "JJ", "confidence": 0.9999221563339233}, {"value": "NN", "confidence": 0.9999326467514038}, {"value": ".", "confidence": 0.9999970197677612}], "token positions": [[0, 5], [6, 12], [13, 15], [16, 19], [20, 26], [26, 29], [29, 35], [36, 42], [43, 45], [46, 49], [50, 53], [53, 56], [56, 60], [61, 66], [67, 69], [70, 73], [74, 78], [79, 84], [84, 85]]}]

{
  "completed_at": "2023-07-13T18:17:18.696663Z",
  "created_at": "2023-07-13T18:14:48.554155Z",
  "data_removed": false,
  "error": null,
  "id": "uckthvjbn7rwsc2hhpy3pyknm4",
  "input": {
    "sentences_json": "[\"I love berlin.\", \"Deep neural networks are cool.\", \"Geoff Hinton is the father---Yoshua Bengio is the son---Yann LeCun is the holy ghost.\"]"
  },
  "logs": null,
  "metrics": {
    "predict_time": 0.50532,
    "total_time": 150.142508
  },
  "output": "[{\"text\": \"I love berlin.\", \"all labels\": [{\"value\": \"PRP\", \"confidence\": 0.9999994039535522}, {\"value\": \"VBP\", \"confidence\": 0.9999959468841553}, {\"value\": \"NN\", \"confidence\": 0.6081405282020569}, {\"value\": \".\", \"confidence\": 0.9999886751174927}], \"token positions\": [[0, 1], [2, 6], [7, 13], [13, 14]]}, {\"text\": \"Deep neural networks are cool.\", \"all labels\": [{\"value\": \"JJ\", \"confidence\": 0.9999175071716309}, {\"value\": \"JJ\", \"confidence\": 0.970643162727356}, {\"value\": \"NNS\", \"confidence\": 0.9999926090240479}, {\"value\": \"VBP\", \"confidence\": 1.0}, {\"value\": \"JJ\", \"confidence\": 0.9999996423721313}, {\"value\": \".\", \"confidence\": 0.9999958276748657}], \"token positions\": [[0, 4], [5, 11], [12, 20], [21, 24], [25, 29], [29, 30]]}, {\"text\": \"Geoff Hinton is the father---Yoshua Bengio is the son---Yann LeCun is the holy ghost.\", \"all labels\": [{\"value\": \"NNP\", \"confidence\": 0.9999997615814209}, {\"value\": \"NNP\", \"confidence\": 1.0}, {\"value\": \"VBZ\", \"confidence\": 1.0}, {\"value\": \"DT\", \"confidence\": 1.0}, {\"value\": \"NN\", \"confidence\": 0.9999498128890991}, {\"value\": \":\", \"confidence\": 0.9369075298309326}, {\"value\": \"NNP\", \"confidence\": 0.9999994039535522}, {\"value\": \"NNP\", \"confidence\": 0.9999998807907104}, {\"value\": \"VBZ\", \"confidence\": 1.0}, {\"value\": \"DT\", \"confidence\": 1.0}, {\"value\": \"NN\", \"confidence\": 0.9999871253967285}, {\"value\": \":\", \"confidence\": 0.9893242716789246}, {\"value\": \"NNP\", \"confidence\": 0.9999842643737793}, {\"value\": \"NNP\", \"confidence\": 1.0}, {\"value\": \"VBZ\", \"confidence\": 1.0}, {\"value\": \"DT\", \"confidence\": 1.0}, {\"value\": \"JJ\", \"confidence\": 0.9999221563339233}, {\"value\": \"NN\", \"confidence\": 0.9999326467514038}, {\"value\": \".\", \"confidence\": 0.9999970197677612}], \"token positions\": [[0, 5], [6, 12], [13, 15], [16, 19], [20, 26], [26, 29], [29, 35], [36, 42], [43, 45], [46, 49], [50, 53], [53, 56], [56, 60], [61, 66], [67, 69], [70, 73], [74, 78], [79, 84], [84, 85]]}]",
  "started_at": "2023-07-13T18:17:18.191343Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/uckthvjbn7rwsc2hhpy3pyknm4",
    "cancel": "https://api.replicate.com/v1/predictions/uckthvjbn7rwsc2hhpy3pyknm4/cancel"
  },
  "version": "27f3a807f3c68613eda64b9cc063e898b1f66633c1fb79e61e449206400950d4"
}

Generated in

0.5 seconds

Tweak it Report

This output was created using a different version of the model, turian/flair-pos-english:27f3a807.

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

The Flair English POS tagger is one of the state of the art models that is commonly available.

It’s based upon Flair embeddings and LSTM-CRF.

In my experience, it outperforms SpaCy en_core_web_trf, but this may depend upon your dataset. However, it is slow unless you have a GPU.

Hence, this replicate model.

Please cite the following paper when using this model.

@inproceedings{akbik2018coling,
  title={Contextual String Embeddings for Sequence Labeling},
  author={Akbik, Alan and Blythe, Duncan and Vollgraf, Roland},
  booktitle = {{COLING} 2018, 27th International Conference on Computational Linguistics},
  pages     = {1638--1649},
  year      = {2018}
}