distilbert-sst-2-int8

Model ID: @cf/huggingface/distilbert-sst-2-int8

Distilled BERT model that was finetuned on SST-2 for sentiment classification

Properties

Task Type: Text Classification

Code Examples

Workers - Typescript

export interface Env {
  AI: Ai;
}

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

    const response = await env.AI.run(
      "@cf/huggingface/distilbert-sst-2-int8",
      {
        text: "This pizza is great!",
      }
    );

    return Response.json(response);
  },
} satisfies ExportedHandler<Env>;

Python

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

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

output = run("@cf/huggingface/distilbert-sst-2-int8", { "text": "This pizza is great!" })
print(output)

curl

curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/huggingface/distilbert-sst-2-int8  \
  -X POST  \
  -H "Authorization: Bearer $CLOUDFLARE_API_TOKEN"  \
  -d '{ "text": "This pizza is great!" }'

Response

{
  "items": [
    {
    "label": "POSITIVE",
    "score": 0.9998738765716553
    },
    {
      "label": "NEGATIVE",
      "score": 0.00012611268903128803
    }
  ]
}

API Schema

The following schema is based on JSON Schema

Input JSON Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "minLength": 1
    }
  },
  "required": [
    "text"
  ]
}

Output JSON Schema

{
  "type": "array",
  "contentType": "application/json",
  "items": {
    "type": "object",
    "properties": {
      "score": {
        "type": "number"
      },
      "label": {
        "type": "string"
      }
    }
  }
}