m2m100-1.2b

Model ID: @cf/meta/m2m100-1.2b

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

Terms & License

Properties

Task Type: Translation

Code Examples

Workers - Typescript

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>;

Python

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)

curl

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" }'

Response

{
  "translated_text": "Je vais commander des moules frites"
}

API Schema

The following schema is based on JSON Schema

Input JSON Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "minLength": 1
    },
    "source_lang": {
      "type": "string",
      "default": "en"
    },
    "target_lang": {
      "type": "string"
    }
  },
  "required": [
    "text",
    "target_lang"
  ]
}

Output JSON Schema

{
  "type": "object",
  "contentType": "application/json",
  "properties": {
    "translated_text": {
      "type": "string"
    }
  }
}