Import and set up the client:
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run bxclib2/hello-world using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"bxclib2/hello-world:62ab9993a0352b898dcd8e9282f9c3b1374a38d94c1c821fba1f1a1c72114129",
{
input: {
text: "Alice"
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Run bxclib2/hello-world using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"bxclib2/hello-world:62ab9993a0352b898dcd8e9282f9c3b1374a38d94c1c821fba1f1a1c72114129",
input={
"text": "Alice"
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
Run bxclib2/hello-world 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": "bxclib2/hello-world:62ab9993a0352b898dcd8e9282f9c3b1374a38d94c1c821fba1f1a1c72114129",
"input": {
"text": "Alice"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using
Cog. First, install Cog:
Run this to download the model and run it in your local environment:
cog predict r8.im/bxclib2/hello-world@sha256:62ab9993a0352b898dcd8e9282f9c3b1374a38d94c1c821fba1f1a1c72114129 \
-i 'text="Alice"'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 r8.im/bxclib2/hello-world@sha256:62ab9993a0352b898dcd8e9282f9c3b1374a38d94c1c821fba1f1a1c72114129
curl -s -X POST \
-H "Content-Type: application/json" \
-d $'{
"input": {
"text": "Alice"
}
}' \
http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
