Get Started
What This Tool Does
Real examples of how the connector helps your AI agent take action; like sending messages, updating records, or syncing data across tools.
Real-Time Lookup
Retrieve model status, metadata, or recent inference results in real time.
Example
"Check the availability of the sentiment-analysis model."
Memory Recall
Load past inferences, training logs, or API call history.
Example
"Retrieve last 3 runs of the text classification pipeline."
Instant Reaction
Trigger behavior when a new model is deployed or updated.
Example
"Notify ML Ops when a new model version is published."
Autonomous Routine
Schedule testing or retraining of models at regular intervals.
Example
"Run evaluation tests for NLP models every Monday at noon."
Agent-Initiated Action
Use the agent to initiate inference, deploy models, or publish updates.
Example
"Deploy updated translation model to production automatically after testing."


Connect with Apps
See which platforms this connector is commonly used with to power cross-tool automation.
Slack
Share AI-generated insights and alerts
Google Drive
Store and retrieve generated content
Zapier
Automate workflows with AI-powered actions
Try It with Your Agent
Use Hugging Face to summarize this 10-page research paper into a concise 3-paragraph overview highlighting the main findings.
How to Set It Up
Quick guide to connect, authorize, and start using the tool in your Fastn UCL workspace.
1
Connect Hugging Face in Fastn UCL: Navigate to the Connectors section and select Hugging Face, then click Connect.
2
Authenticate with your Hugging Face account by providing your API token to authorize access.
3
Enable the “huggingface.inference” and “huggingface.list_models” actions to allow model querying and inference.
4
Use the AI Agent to summarise or generate content by issuing relevant prompts.

Why Use This Tool
Understand what this connector unlocks: speed, automation, data access, or real-time actions.