---
description: Multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation
title: m2m100-1.2b
image: https://developers.cloudflare.com/og-docs.png
---

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# m2m100-1.2b

Translation • Meta

Copy as Markdown|[View as Markdown](https://docs-durable-objects-instance-replaced-errors.previews.developers.cloudflare.com/workers-ai/models/m2m100-1.2b/index.md)|[Agent setup](https://docs-durable-objects-instance-replaced-errors.previews.developers.cloudflare.com/agent-setup/)

`@cf/meta/m2m100-1.2b`

* Cloudflare-hosted
* Batch

Multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation

| Model Info        |                                                                                    |
| ----------------- | ---------------------------------------------------------------------------------- |
| Terms and License | [link ↗](https://github.com/facebookresearch/fairseq/blob/main/LICENSE)            |
| More information  | [link ↗](https://github.com/facebookresearch/fairseq/tree/main/examples/m2m%5F100) |
| Batch             | Yes                                                                                |
| Unit Pricing      | $0.34 per M input tokens, $0.34 per M output tokens                                |

## Usage

```ts

export interface Env {
  AI: Ai;
}

export default {
  async fetch(request, env): Promise<Response> {

    const response = await env.AI.run(
      "@cf/meta/m2m100-1.2b",
      {
        text: "I'll have an order of the moule frites",
        source_lang: "english", // defaults to english
        target_lang: "french",
      }
    );

    return new Response(JSON.stringify(response));
  },
} satisfies ExportedHandler<Env>;
```

```py

import requests

API_BASE_URL = "https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/"
headers = {"Authorization": "Bearer {API_TOKEN}"}

def run(model, input):
    response = requests.post(f"{API_BASE_URL}{model}", headers=headers, json=input)
    return response.json()

output = run('@cf/meta/m2m100-1.2b', {
  "text": "I'll have an order of the moule frites",
  "source_lang": "english",
  "target_lang": "french"
})

print(output)
```

```sh

curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/meta/m2m100-1.2b  \
    -X POST  \
    -H "Authorization: Bearer $CLOUDFLARE_API_TOKEN"  \
    -d '{ "text": "Ill have an order of the moule frites", "source_lang": "english", "target_lang": "french" }'
```

## Parameters

Synchronous — Send a request and receive a complete response

text

`string`requiredminLength: 1The text to be translated

source\_lang

`string`default: enThe language code of the source text (e.g., 'en' for English). Defaults to 'en' if not specified

target\_lang

`string`requiredThe language code to translate the text into (e.g., 'es' for Spanish)

request\_id

`string`The async request id that can be used to obtain the results.

Batch — Send multiple requests in a single API call

▶requests\[\]

`array`requiredBatch of the embeddings requests to run using async-queue

request\_id

`string`The async request id that can be used to obtain the results.

## API Schemas (Raw)

SynchronousInput

SynchronousOutput

BatchInput

BatchOutput

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