Prediction

lucataco/modernbert-base:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d

Model

lucataco/modernbert-base:06175179

ID

2sy7f0dc91rma0cm0hm9kka354

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

16ms

Created

7 months ago

Input

prompt: The capital of France is [MASK].

{
  "prompt": "The capital of France is [MASK]."
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run lucataco/modernbert-base using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/modernbert-base:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d",
  {
    input: {
      prompt: "The capital of France is [MASK]."
    }
  }
);

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

Import the client:

import replicate

Run lucataco/modernbert-base using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/modernbert-base:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d",
    input={
        "prompt": "The capital of France is [MASK]."
    }
)

print(output)

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

Run lucataco/modernbert-base 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": "lucataco/modernbert-base:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d",
    "input": {
      "prompt": "The capital of France is [MASK]."
    }
  }' \
  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:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/lucataco/modernbert-base@sha256:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d \
  -i 'prompt="The capital of France is [MASK]."'

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 --gpus=all r8.im/lucataco/modernbert-base@sha256:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "The capital of France is [MASK]."
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Paris

Generated in

9 milliseconds

Tweak it Share Report

Prediction

lucataco/modernbert-base:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d

Model

lucataco/modernbert-base:06175179

ID

zzq519dzcsrmc0cm0hm8yegaj0

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

18ms

Created

7 months ago

Input

prompt: Replicate lets you run machine learning [MASK] with a cloud API.

{
  "prompt": "Replicate lets you run machine learning [MASK] with a cloud API."
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run lucataco/modernbert-base using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/modernbert-base:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d",
  {
    input: {
      prompt: "Replicate lets you run machine learning [MASK] with a cloud API."
    }
  }
);

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

Import the client:

import replicate

Run lucataco/modernbert-base using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/modernbert-base:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d",
    input={
        "prompt": "Replicate lets you run machine learning [MASK] with a cloud API."
    }
)

print(output)

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

Run lucataco/modernbert-base 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": "lucataco/modernbert-base:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d",
    "input": {
      "prompt": "Replicate lets you run machine learning [MASK] with a cloud API."
    }
  }' \
  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:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/lucataco/modernbert-base@sha256:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d \
  -i 'prompt="Replicate lets you run machine learning [MASK] with a cloud API."'

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 --gpus=all r8.im/lucataco/modernbert-base@sha256:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "Replicate lets you run machine learning [MASK] with a cloud API."
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

applications

Generated in

11 milliseconds

Tweak it Share Report

Prediction

lucataco/modernbert-base:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d

Model

lucataco/modernbert-base:06175179

ID

q3w35kh4z5rme0cm0hnr7b2tjr

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

20ms

Created

7 months ago

Input

prompt: Hugging Face is the AI community, working together, to [MASK] the future.

{
  "prompt": "Hugging Face is the AI community, working together, to [MASK] the future."
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run lucataco/modernbert-base using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/modernbert-base:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d",
  {
    input: {
      prompt: "Hugging Face is the AI community, working together, to [MASK] the future."
    }
  }
);

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

Import the client:

import replicate

Run lucataco/modernbert-base using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/modernbert-base:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d",
    input={
        "prompt": "Hugging Face is the AI community, working together, to [MASK] the future."
    }
)

print(output)

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

Run lucataco/modernbert-base 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": "lucataco/modernbert-base:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d",
    "input": {
      "prompt": "Hugging Face is the AI community, working together, to [MASK] the future."
    }
  }' \
  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:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/lucataco/modernbert-base@sha256:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d \
  -i 'prompt="Hugging Face is the AI community, working together, to [MASK] the future."'

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 --gpus=all r8.im/lucataco/modernbert-base@sha256:06175179e8c4b7cc6166c71c44637ed0d0f325eea8c0f5e652c3ca808b23d11d
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "Hugging Face is the AI community, working together, to [MASK] the future."
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.