Step 1: Connect your stack
27+ native integrations plus 9,800+ tools via managed connectors. Mostly one-click OAuth, a few API keys. No webhooks, no Zapier zaps.
Hugging Face AI employee
Viktor works in Hugging Face for you. Ask in Slack or Microsoft Teams.
Viktor is an AI employee that connects to Hugging Face and helps you run and evaluate LLM and AI infrastructure workloads, running 6 Hugging Face actions for you like Object Detection, Text Summarization, and Text Classification. Ask in plain English from your workspace; Viktor does the work in Hugging Face and reports back. Viktor connects with an API key.
Works in Slack & Microsoft Teams
What can your AI employee do in Hugging Face?
Viktor connects to your Hugging Face account and completes work in it. He doesn't just answer questions about Hugging Face, he takes the actions on your behalf and delivers the finished result to your workspace.
Unlike workflow builders such as Zapier or Make, there is nothing to configure - no triggers to map, no workflows to maintain. You describe the outcome in plain English, and Viktor picks the right Hugging Face actions, chains them with the other 9,800+ tools he connects to, and asks for approval before anything sensitive runs.
About Hugging Face
Build, train and deploy state of the art models powered by the reference open source in machine learning.
Use Hugging Face from Slack and Microsoft Teams
Message Viktor in a Slack channel, a Microsoft Teams chat or a direct message. He opens Hugging Face, does the work and posts the result in the same thread, so nobody has to switch tabs.
He can also run Hugging Face work on a schedule, like a weekly Hugging Face summary posted to your team's channel. Anything sensitive waits for your approval before it runs.
Viktor is not affiliated with or endorsed by Hugging Face.
You ask in your workspace
Describe what you need in plain English
Viktor picks the actions
Selects from 6 Hugging Face actions, chains them together
Runs in Hugging Face
Helps you run and evaluate LLM and AI infrastructure workloads - your real data.
Reports back
Delivers the finished result to your workspace
Try asking Viktor
What can you ask Viktor to do in Hugging Face?
Messages you'd actually send. Paste one into your workspace, swap in your specifics, and Viktor takes it from there.
“Run this batch of documents through Hugging Face and summarize the results.”
— you, to @Viktor
“Compare Hugging Face's output on this prompt with what we use today.”
— you, to @Viktor
“Set up a daily job that queries Hugging Face on new entries and reports back.”
— you, to @Viktor
“Watch Hugging Face for a cost or latency spike and alert me with the likely cause.”
— you, to @Viktor
How it works
How does Viktor work with Hugging Face?
Maya Patel11:32 AM
@Viktor check this week's Stripe revenue against HubSpot and flag anything off before the board call.
Viktor11:33 AM
On it. Cross-checking Stripe against HubSpot and fixing anything that doesn't line up before your board call.
Step 2: Tell Viktor what you need
Message Viktor like a teammate: "Pull this week's MRR from Stripe." "Triage new Linear bugs." "Pause Meta ads over $40 CPA." Any tool.
Viktor9:12 AM
📊 Revenue check:
$84,210 (+6.4% WoW).
3 deals didn't match HubSpot.
Fixed 2, one needs your call.
$84,210 (+6.4% WoW).
3 deals didn't match HubSpot.
Fixed 2, one needs your call.
revenue_raport.pdf
Step 3: Viktor does the work, you review
Viktor opens the tools, runs the work, and posts back exactly what changed. Sensitive actions wait for your approval. It’s all logged.
Actions
What can Viktor do in Hugging Face?
Ask in plain English from your workspace. Viktor picks the right Hugging Face actions, runs the work, and reports back. No workflows to build.
- Text
Text Summarization
This task is well known to summarize longer text into shorter text. Be careful, some models have a maximum length of input. That means that the summary cannot handle full books for instance. Be careful when choosing your model.
- Text
Text Classification
Usually used for sentiment-analysis this will output the likelihood of classes of an input. This action allows you to classify text into categories.
- Other
Object Detection
This task reads some image input and outputs the likelihood of classes and bounding boxes of detected objects.
- Other
Language Translation
This task is well known to translate text from one language to another.
- Other
Image Classification
This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories.
- Other
Document Question Answering
Want to have a nice know-it-all bot that can answer any question?. This action allows you to ask a question and get an answer from a trained model.
Works with your stack
Viktor uses Hugging Face together with your other tools
Ask for outcomes that span tools - Viktor pulls from Hugging Face, cross-references the rest of your stack, and delivers one finished result.
Related
More HR & Recruiting integrations
Viktor connects to 9,800+ tools and works across them in a single run.
Trusted by 78,000+ teams
The moment Viktor becomes part of the team.
Hugging Face integration FAQ
Yes. Hugging Face is one of the 9,800+ tools Viktor connects to, with an API key. Once connected, anyone on your team can put Viktor to work in Hugging Face from their workspace - no workflow builder, no code.
Ask Viktor in your workspace to connect Hugging Face, then paste an API key from your Hugging Face account when prompted. Viktor stores the key encrypted, uses it only for the actions you ask for, and you can revoke it at any time. Setup takes about two minutes.
Viktor can run 6 Hugging Face actions, including Object Detection, Text Summarization, and Text Classification - and chain them with other tools in a single request. In practice that means Viktor helps you run and evaluate LLM and AI infrastructure workloads. If a task spans several actions, Viktor plans the sequence itself and reports back when the work is done.
No. Viktor isn't a workflow builder - there are no triggers to map and nothing to maintain. You ask for the outcome in plain English in your workspace, and Viktor decides which Hugging Face actions to take, runs them, and reports back.
4.9 on G2G2 rating: 4.9 out of 5 stars
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