Connect Google Bigquery and HuggingFace to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
Text Classification
Language Translation
Enable Integrations or automations with these events of Google Bigquery and HuggingFace
Enable Integrations or automations with these events of Google Bigquery and HuggingFace
Actions
Run a Query
run a sql query against a table in bigquery.
Get Rows for Job Completed
Gets batch of rows from completed jobs in BigQuery
Find Row
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Find One Row
Find a row by specifying a table, a WHERE clause, an optional ORDER BY. Optionally, create a row if none are found.
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 Google Bigquery and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Google Bigquery 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 Google Bigquery 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 Google Bigquery 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 Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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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