# Track Hugging Face sentence similarity models

**Use case:** 

Collect public sentence-similarity models for embedding/RAG model research.

## Input

```json
{
  "search": "embedding",
  "pipelineTag": "sentence-similarity",
  "library": "sentence-transformers",
  "sort": "downloads",
  "limit": 20,
  "includeDetails": false
}
```

## Output

```json
{
  "modelId": {
    "label": "Model ID",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "likes": {
    "label": "Likes",
    "format": "integer"
  },
  "downloads": {
    "label": "Downloads",
    "format": "integer"
  },
  "trendingScore": {
    "label": "Trending",
    "format": "number"
  },
  "tags": {
    "label": "Tags",
    "format": "array"
  },
  "pipelineTag": {
    "label": "Pipeline",
    "format": "string"
  },
  "libraryName": {
    "label": "Library",
    "format": "string"
  },
  "license": {
    "label": "License",
    "format": "string"
  },
  "createdAt": {
    "label": "Created",
    "format": "string"
  },
  "lastModified": {
    "label": "Last modified",
    "format": "string"
  },
  "private": {
    "label": "Private",
    "format": "boolean"
  },
  "gated": {
    "label": "Gated",
    "format": "boolean"
  },
  "sha": {
    "label": "SHA",
    "format": "string"
  },
  "siblingsCount": {
    "label": "Files",
    "format": "integer"
  },
  "cardData": {
    "label": "Card data",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [Hugging Face Models Scraper](https://apify.com/fetch_cat/hugging-face-models-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/fetch_cat/hugging-face-models-scraper) to learn more, explore other use cases, and run it yourself.