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m2m100-1.2b

Translation • Meta
@cf/meta/m2m100-1.2b

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

Terms and License

    Usage

    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
    Terminal window
    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

    Input

    • text string min 1

      The text to be translated

    • source_lang string default en

      The language code of the source text (e.g., 'en' for English). Defaults to 'en' if not specified

    • target_lang string

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

    Output

    • translated_text string

      The translated text in the target language

    API Schemas

    The following schemas are based on JSON Schema

    {
        "type": "object",
        "properties": {
            "text": {
                "type": "string",
                "minLength": 1,
                "description": "The text to be translated"
            },
            "source_lang": {
                "type": "string",
                "default": "en",
                "description": "The language code of the source text (e.g., 'en' for English). Defaults to 'en' if not specified"
            },
            "target_lang": {
                "type": "string",
                "description": "The language code to translate the text into (e.g., 'es' for Spanish)"
            }
        },
        "required": [
            "text",
            "target_lang"
        ]
    }
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