H
HuggingFace
by HuggingFace
Access open-source AI models for NLP, computer vision, and more
AI ServicesFree / PaidAPI keyaimlnlpcomputer-visionopen-sourcetransformers
How agents use HuggingFace
- ✓Agent runs inference on a specialized open-source model for a task like classification, NER, or translation
- ✓Agent generates text embeddings using a HuggingFace model to enable semantic search in a workflow
- ✓Agent moderates or classifies content using a fine-tuned safety model before passing it downstream
- ✓Agent transcribes audio using Whisper or a similar model as a preprocessing step in a pipeline
- ✓Agent uses domain-specific fine-tuned models — e.g., medical, legal, financial — for specialized reasoning
Agent actions
Text GenerationGenerate text using language models
Inputs: model, inputs, parameters
Returns: generatedText
Text ClassificationClassify text into categories
Inputs: model, inputs
Returns: labels
Sentiment AnalysisAnalyze sentiment of text
Inputs: model, inputs
Returns: sentiment, score
Text SummarizationSummarize long text
Inputs: model, inputs, parameters
Returns: summaryText
Feature ExtractionGenerate embeddings from text
Inputs: model, inputs
Returns: embeddings
Image ClassificationClassify images
Inputs: model, image
Returns: labels
Example workflows
1
Open-source chatbot
Use Llama 2 for conversational AI
2
Content moderation
Classify content for safety
About HuggingFace
- Vendor
- HuggingFace
- Pricing Always review details with the vendor
- Free / Paid — Free tier available, paid plans for higher limits
- Authentication
- API key
- Rate limit Always review details with the vendor
- 30 requests / minute
- Compatible nodes
- AgentResource
- Website
- https://huggingface.co
Put HuggingFace behind your AI agent
Set up HuggingFace alongside your other tools in the planner — no code — so AI can act on it for your customers.
Open the planner