villesau/whisper-timestamped:70abaf3a – Run with an API on Replicate

Version

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villesau /whisper-timestamped:70abaf3a

Playground API

Input

audio_file

*file

Audio file to transcribe

language

string

Shift + Return to add a new line

Language code (e.g., 'en') or 'auto' for auto-detect

Default: "auto"

task

string

Task to perform

Default: "transcribe"

vad

boolean

Use Voice Activity Detection

Default: false

detect_disfluencies

boolean

Detect speech disfluencies

Default: false

compute_word_confidence

boolean

Compute word confidence scores

Default: true

temperature

number

Temperature for sampling

Default: 0

best_of

integer

Number of candidates when sampling with non-zero temperature

beam_size

integer

Number of beams in beam search, only applicable when temperature is zero

patience

number

Optional patience value to use in beam decoding

length_penalty

number

Optional token length penalty coefficient (alpha) as in https://arxiv.org/abs/1609.08144

suppress_tokens

string

Shift + Return to add a new line

Comma-separated list of token ids to suppress during sampling

Default: "-1"

initial_prompt

string

Shift + Return to add a new line

Optional text to provide as a prompt for the first window

condition_on_previous_text

boolean

Whether to condition on previous text

Default: true

no_speech_threshold

number

Threshold for no speech probability

Default: 0.6

compression_ratio_threshold

number

Threshold for compression ratio

Default: 2.4

logprob_threshold

number

Threshold for average log probability

Default: -1

verbose

boolean

Whether to display the text being decoded

Default: false

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

npx create-replicate --model=villesau/whisper-timestamped

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 villesau/whisper-timestamped using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "villesau/whisper-timestamped:70abaf3a99c7bc3a0a87a779642bc7b394229ff7c32aef9e7d9cc8d9648bfb2c",
  {
    input: {
      vad: false,
      task: "transcribe",
      verbose: false,
      language: "auto",
      temperature: 0,
      suppress_tokens: "-1",
      logprob_threshold: -1,
      detect_disfluencies: false,
      no_speech_threshold: 0.6,
      compute_word_confidence: true,
      condition_on_previous_text: true,
      compression_ratio_threshold: 2.4
    }
  }
);

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 villesau/whisper-timestamped using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "villesau/whisper-timestamped:70abaf3a99c7bc3a0a87a779642bc7b394229ff7c32aef9e7d9cc8d9648bfb2c",
    input={
        "vad": False,
        "task": "transcribe",
        "verbose": False,
        "language": "auto",
        "temperature": 0,
        "suppress_tokens": "-1",
        "logprob_threshold": -1,
        "detect_disfluencies": False,
        "no_speech_threshold": 0.6,
        "compute_word_confidence": True,
        "condition_on_previous_text": True,
        "compression_ratio_threshold": 2.4
    }
)
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 villesau/whisper-timestamped 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": "villesau/whisper-timestamped:70abaf3a99c7bc3a0a87a779642bc7b394229ff7c32aef9e7d9cc8d9648bfb2c",
    "input": {
      "vad": false,
      "task": "transcribe",
      "verbose": false,
      "language": "auto",
      "temperature": 0,
      "suppress_tokens": "-1",
      "logprob_threshold": -1,
      "detect_disfluencies": false,
      "no_speech_threshold": 0.6,
      "compute_word_confidence": true,
      "condition_on_previous_text": true,
      "compression_ratio_threshold": 2.4
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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