Connect Upstox and HuggingFace to Build Intelligent Automations
Enable Integrations or automations with these events of Upstox and HuggingFace
Enable Integrations or automations with these events of Upstox and HuggingFace
Actions
Get Historical Candles
Get historical candlestick price data for an instrument over a date range.
Get Live Quote
Get current price and open, high, low, close values for a specified instrument.
Get Full Market Quotes
Get current prices and quote details for specified instruments.
Text Classification
Use any compatible model from the Hugging Face to classify input text using a ML model.
Language Translation
Use a compatible model from the Hugging Face Hub to translate text from one language to another.
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Frequently Asked Questions
To start, connect both your Upstox and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Upstox triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Upstox data is recorded in HuggingFace. This includes choosing which data fields go into which fields of HuggingFace, setting up custom formats, and filtering out unwanted information.
The data sync between Upstox and HuggingFace typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Upstox and HuggingFace. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Upstox
Upstox is a leading platform for trading and investment, offering a range of financial services including stock trading, mutual funds, and more. It provides users with advanced tools and insights to make informed investment decisions.
Learn MoreAbout HuggingFace
Hugging Face is a leading platform for natural language processing (NLP) and machine learning models. It provides a wide range of pre-trained models and tools to help developers and researchers build, train, and deploy state-of-the-art machine learning applications.
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