Dataset to HuggingFace
3 days trial then $5.00/month - No credit card required now
Dataset to HuggingFace
3 days trial then $5.00/month - No credit card required now
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.
You can access the Dataset to HuggingFace programmatically from your own Python 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 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 = {
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 finish
16run = 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:
AmreActor Metrics
2 monthly users
-
1 star
>99% runs succeeded
Created in Aug 2024
Modified 2 months ago
