Tools
| Name | Description |
|---|---|
document_question_answeringAnswer questions from document images using Hugging Face models | Answer questions from document images using Hugging Face models |
language_translationTranslate text between languages using Hugging Face translation models | Translate text between languages using Hugging Face translation models |
text_classificationClassify text into categories using Hugging Face models | Classify text into categories using Hugging Face models |
text_summarizationGenerate summaries of long text using Hugging Face models | Generate summaries of long text using Hugging Face models |
chat_completionGenerate assistant replies using chat-style LLMs | Generate assistant replies using chat-style LLMs |
create_imageGenerate images from text prompts using Hugging Face diffusion models | Generate images from text prompts using Hugging Face diffusion models |
object_detectionDetect and locate objects in images with bounding boxes | Detect and locate objects in images with bounding boxes |
image_classificationClassify images with pre-trained or custom categories | Classify images with pre-trained or custom categories |
Quick Start
import { WeavzClient } from '@weavz-io/sdk'
const weavz = new WeavzClient({ apiKey: 'wvz_...' })
const result = await weavz.actions.execute('hugging-face', 'document_question_answering', {
workspaceId: '550e8400-e29b-41d4-a716-446655440000',
integrationAlias: 'hugging-face',
input: { /* ... */ },
})Related Integrations
Works well with
Frequently Asked Questions
How do I connect Hugging Face to my app?
Use Weavz Hosted Connect for API Key authentication. Install the SDK, create a connection through the connect portal or API, then execute tools programmatically.
What tools does Hugging Face support?
Hugging Face supports 8 tools including Document Question Answering, Language Translation, Text Classification, Text Summarization, Chat Completion, and more.
Can I use Hugging Face with AI agents?
Yes. Add Hugging Face to an MCP server in Tool Mode or Code Mode. Code Mode provides 3 meta-tools with on-demand API discovery so agents can compose stateful workflows without loading every action schema up front.
How do I connect Hugging Face to ChatGPT or Claude?
Open the Weavz connector setup, sign in, choose a workspace, and add Hugging Face as an approved app. ChatGPT, Claude, and other remote MCP clients can then call the scoped Hugging Face tools exposed by that workspace.
Does Hugging Face work with Claude Code, Cursor, Codex, and local agents?
Yes. Remote and local MCP clients can connect to a Weavz MCP endpoint for the workspace. Local coding agents can also use the Weavz CLI to inspect apps, discover actions, run approved Hugging Face work, and execute Code Mode workflows from a terminal.
What can I ask an AI agent to do with Hugging Face?
Hugging Face exposes 8 tools, including Document Question Answering, Language Translation, Text Classification, Text Summarization, Chat Completion, and more. Use Weavz to keep credentials scoped, require approval for sensitive work, and audit what the agent did.
Can Hugging Face be used in stateful agent workflows?
Yes. Agents can combine Hugging Face tools with Filesystem, State KV, Human Gates, input partials, and other workspace integrations while keeping execution scoped to the selected workspace or end user.
What authentication does Hugging Face use?
Hugging Face uses API Key. Weavz stores credentials securely and uses them for authorized action execution.
How much does the Hugging Face integration cost?
The Hugging Face integration is included on all Weavz plans including the free tier with 20,000 actions per month. No credit card required.
Connect Hugging Face in minutes
Get 20,000 free action executions every month. No credit card required.