Train – cuuupid/zonos:c8631944

cuuupid / zonos

Zonos-v0.1 beta, a SOTA text-to-speech Transformer model with extraordinary expressive range, built by Zyphra. (Updated 4 months, 1 week ago)

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260 runs
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Run with an API

Playground API Examples Train README Versions

Create training

Trainings for this model run on Nvidia L40S GPU hardware, which costs $0.000975 per second. Upon creation, you will be redirected to the training detail page where you can monitor your training's progress, and eventually download the weights and run the trained model.

Note: versions of this model with fast booting use the hardware set by the base model they were trained from.

Learn more about training

If you haven't yet trained a model on Replicate, you can read one of the following guides.

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

Train cuuupid/zonos using Replicate’s API:

training = replicate.trainings.create(
  # You need to create a model on Replicate that will be the destination for the trained version.
  destination="/model-name"
  version="cuuupid/zonos:c86319441e6805516974afc719860dbba372cf1e2466997dcb67e259bc47522e",
  input={
    # ...
  },
)

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,
});

Train cuuupid/zonos using Replicate’s API:

const training = await replicate.trainings.create(
  "cuuupid",
  "zonos",
  "c86319441e6805516974afc719860dbba372cf1e2466997dcb67e259bc47522e",
  {
    // You need to create a model on Replicate that will be the destination for the trained version.
    destination: "/model-name",
    input: {
      // ...
    }
  }
);