distilbert-sst-2-int8
Text Classification • HuggingFace
@cf/huggingface/distilbert-sst-2-int8
- Cloudflare-hosted
Distilled BERT model that was finetuned on SST-2 for sentiment classification
| Model Info | |
|---|---|
| More information | link ↗ |
| Unit Pricing | $0.0263 per M input tokens |
Usage
export interface Env {
AI: Ai;
}
export default {
async fetch(request, env): Promise<Response> {
const response = await env.AI.run(
"@cf/huggingface/distilbert-sst-2-int8",
{
text: "This pizza is great!",
}
);
return Response.json(response);
},
} satisfies ExportedHandler<Env>;
API_BASE_URL = "https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/"
headers = {"Authorization": "Bearer {API_KEY}"}
def run(model, input):
response = requests.post(f"{API_BASE_URL}{model}", headers=headers, json=input)
return response.json()
output = run("@cf/huggingface/distilbert-sst-2-int8", { "text": "This pizza is great!" })
print(output)
curl https://api.cloudflare.com/client/v4/accounts/$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!" }'
Parameters
text
stringrequiredminLength: 1The text that you want to classify
type
array
contentType
application/json
description
An array of classification results for the input text
items
[object Object]
API Schemas (Raw)
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description: Granite 4.0 instruct models deliver strong performance across benchmarks, achieving industry-leading results in key agentic tasks like instruction following and function calling. These efficiencies make the models well-suited for a wide range of use cases like retrieval-augmented generation (RAG), multi-agent workflows, and edge deployments. title: granite-4.0-h-micro image: https://developers.cloudflare.com/og-docs.png
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