# Export Hugging Face Text-Generation Top Models

**Use case:** 

Export today's public Hugging Face text-generation top-20 by downloads through the official Hub API. Replace pipelineTag or topN if you track another task. Each row is a model observation with rank, downloads, likes and license, plus one query_status row. This first run writes no history.

## Input

```json
{
  "queries": [
    {
      "kind": "segment",
      "pipelineTag": "text-generation",
      "sort": "downloads",
      "topN": 20
    }
  ],
  "mode": "snapshot",
  "outputMode": "all",
  "stateNamespace": "default",
  "maxModelRows": 200,
  "confirmMassRemoval": false
}
```

## Output

```json
{
  "model_id": {
    "label": "Model id",
    "format": "string"
  },
  "rank": {
    "label": "Rank",
    "format": "integer"
  },
  "downloads": {
    "label": "Downloads",
    "format": "integer"
  },
  "likes": {
    "label": "Likes",
    "format": "integer"
  },
  "pipeline_tag": {
    "label": "Pipeline tag",
    "format": "string"
  },
  "license": {
    "label": "License",
    "format": "string"
  },
  "change_type": {
    "label": "Change type",
    "format": "string"
  },
  "status": {
    "label": "Verification status",
    "format": "string"
  },
  "source_url": {
    "label": "Source URL",
    "format": "string"
  },
  "scraped_at": {
    "label": "Observed at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Hugging Face Model Rankings API & Monitor](https://apify.com/automa-flow/huggingface-model-rankings-monitor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automa-flow/huggingface-model-rankings-monitor.md) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automa-flow/huggingface-model-rankings-monitor.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).