Integrations HuggingFace evaluagent
HuggingFace + evaluagent

Connect HuggingFace and evaluagent to Build Intelligent Automations

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HuggingFace

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evaluagent

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Enable Integrations or automations with these events of HuggingFace and evaluagent

Enable Integrations or automations with these events of HuggingFace and evaluagent

Actions

Text Classification

Text Classification

Use any compatible model from the Hugging Face to classify input text using a ML model.

Language Translation

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

How do I start an integration between HuggingFace and evaluagent?

To start, connect both your HuggingFace and evaluagent accounts to viaSocket. Once connected, you can set up a workflow where an event in HuggingFace triggers actions in evaluagent (or vice versa).

Can we customize how data from HuggingFace is recorded in evaluagent?

Absolutely. You can customize how HuggingFace data is recorded in evaluagent. This includes choosing which data fields go into which fields of evaluagent, setting up custom formats, and filtering out unwanted information.

How often does the data sync between HuggingFace and evaluagent?

The data sync between HuggingFace and evaluagent typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from HuggingFace to evaluagent?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between HuggingFace and evaluagent?

Yes, you can set conditional logic to control the flow of data between HuggingFace and evaluagent. 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.

HuggingFace

About 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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evaluagent

About evaluagent

EvaluAgent provides everything you need to evaluate, coach and engage agents. This app allows you to view zendesk tickets that have been evaluated inside evaluation and have instant access to the results

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