phospho-app/gr00t-policy:42d179cb | Run with an API on Replicate

Version

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phospho-app /gr00t-policy:42d179cb

Playground API

Input

dataset_repo_id

*string

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Hugging Face dataset ID to train on, LeRobot format > v2.0 expected, i.e. 'LegrandFrederic/dual-setup'

hf_token

*string

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Hugging Face API token (used to upload your trained model to your HF profile), find yours here: https://huggingface.co/settings/token

wandb_project

string

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Weights & Biases project name

Default: "gr00t-Replicate"

job_name

string

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Name for this training job

Default: "replicate_training-gr00t"

steps

integer

(minimum: 1, maximum: 10000)

Number of steps to train for

Default: 1

Including hf_model_name and 1 more...

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

npx create-replicate --model=phospho-app/gr00t-policy

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";
import fs from "node:fs";

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

Run phospho-app/gr00t-policy using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "phospho-app/gr00t-policy:42d179cbfbccced7e91081ab7c14128496fb45edd5a02f356e5c73705eb21cb2",
  {
    input: {
      steps: 1,
      job_name: "replicate_training-gr00t",
      hf_model_name: "trained-gr00t-replicate",
      wandb_api_key: "",
      wandb_project: "gr00t-Replicate"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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 phospho-app/gr00t-policy using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "phospho-app/gr00t-policy:42d179cbfbccced7e91081ab7c14128496fb45edd5a02f356e5c73705eb21cb2",
    input={
        "steps": 1,
        "job_name": "replicate_training-gr00t",
        "hf_model_name": "trained-gr00t-replicate",
        "wandb_api_key": "",
        "wandb_project": "gr00t-Replicate"
    }
)
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 phospho-app/gr00t-policy 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": "phospho-app/gr00t-policy:42d179cbfbccced7e91081ab7c14128496fb45edd5a02f356e5c73705eb21cb2",
    "input": {
      "steps": 1,
      "job_name": "replicate_training-gr00t",
      "hf_model_name": "trained-gr00t-replicate",
      "wandb_api_key": "",
      "wandb_project": "gr00t-Replicate"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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