Hugging Face
The AI community building the future with open-source machine learning models, datasets, and applications.
APIs
Hugging Face Inference API
Run inference on 200,000+ machine learning models with a simple HTTP request.
Hugging Face Hub API
Programmatically interact with the Hugging Face Hub - manage models, datasets, and spaces.
Hugging Face Inference Endpoints API
Deploy and scale machine learning models with dedicated, secure infrastructure.
Hugging Face Inference Providers API
Unified proxy layer providing access to 15+ inference partners through a single OpenAI-compatible endpoint.
Hugging Face Dataset Viewer API
Query and visualize datasets stored on the Hugging Face Hub through a lightweight REST API.
Hugging Face Text Generation Inference API
High-performance toolkit for deploying and serving large language models with optimized inference.
Capabilities
Hugging Face Deployment and Operations
Unified workflow for deploying, scaling, and operating ML model inference endpoints on dedicated infrastructure. Combines Inference Endpoints management with TGI server monitori...
Run with NaftikoHugging Face Hub and Data Management
Unified workflow for managing models, datasets, and spaces on the Hugging Face Hub, and exploring dataset contents via the Dataset Viewer. Used by ML engineers, data scientists,...
Run with NaftikoHugging Face Model Inference
Unified workflow for running AI/ML inference across Hugging Face APIs, combining the Inference API, Inference Providers, and Text Generation Inference for NLP, vision, audio, an...
Run with NaftikoFeatures
Run inference on 200,000+ ML models with a simple HTTP request across NLP, vision, audio, and multimodal tasks.
Programmatically manage models, datasets, and spaces including creation, versioning, and access control.
Deploy models on dedicated infrastructure with autoscaling, custom hardware, and private networking.
Unified OpenAI-compatible API routing to 15+ inference providers with automatic model selection.
Query, search, filter, and visualize datasets without downloading via the Dataset Viewer API.
High-performance LLM serving with streaming, tool calling, structured output, and grammar constraints.
Drop-in replacement for OpenAI API with chat completions, embeddings, and image generation endpoints.
Use Cases
Rapidly prototype AI applications by running inference on pre-trained models without infrastructure setup.
Deploy and scale ML models for production workloads with dedicated endpoints and autoscaling.
Explore, validate, and curate ML datasets programmatically for training pipeline automation.
Build AI-powered applications using unified inference APIs with multi-provider routing.
Compare model performance across providers and hardware configurations for optimization.
Integrations
Deploy inference endpoints on AWS with SageMaker integration and GPU instances.
Route inference to Google Cloud TPUs and GPUs through the providers API.
Deploy models on Azure infrastructure with managed endpoint support.
Use Hugging Face models as LangChain LLM and embedding providers.
Build interactive ML demos with Gradio and deploy as Hugging Face Spaces.