Dataset to HuggingFace
Pricing
$5.00/month + usage
Dataset to HuggingFace
Transfers data from Apify datasets to Hugging Face datasets. Bridges web scraping with ML platforms, enabling access to pre-trained models and collaborative tools. Customize transfer limits, streamline ML workflows, and leverage data versioning. Ideal for data scientists and ML researchers.
0.0 (0)
Pricing
$5.00/month + usage
2
Total users
4
Monthly users
1
Runs succeeded
>99%
Last modified
8 months ago
You can access the Dataset to HuggingFace 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "apifyDatasetId": "1234583838",10 "huggingFaceDatasetName": "peter/mydatasetID",11 "huggingFaceToken": "hf_xxxxxxxxxxxxxxxxxxxxxxxx",12 "maxItems": 1,13}14
15# Run the Actor and wait for it to finish16run = client.actor("flamboyant_leaf/datasettohuggingface").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])20for item in client.dataset(run["defaultDatasetId"]).iterate_items():21 print(item)22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startDataset to HuggingFace API in Python
The Apify API client for Python is the official library that allows you to use Dataset to HuggingFace API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
