Pricing

$0.06 / actor start

ML Scout

Search ML models and repos across HuggingFace Hub and GitHub. Filter by task, framework, license, language, author, stars, and more.

Pricing

$0.06 / actor start

Rating

0.0

(0)

Developer

Cody

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Automation

Developer tools

You can access the ML Scout programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "search": "whisper" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("nytemairqt/ml-scout").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

ML Scout API in Python

The Apify API client for Python is the official library that allows you to use ML Scout API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

ML Scout API in JavaScript

ML Scout API through CLI

ML Scout OpenAPI definition

ML Scout API

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HuggingFace Models Scraper

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HuggingFace Models Scraper

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ben

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WETYR

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