How to Build Your Own Hugging Face

Create dense vector embeddings for semantic search and similarity matching.

Translate text between 100+ language pairs with pre-trained models.

Extract and classify named entities from text using pre-trained NER models.

Extract answers from context passages using extractive and generative QA models.

Classify text sentiment with multi-language support and custom-trained models.

Compare model performance across tasks and benchmarks in real-time rankings.

Built-in tools to evaluate and benchmark model performance across various metrics.

Track inference statistics, performance metrics, and model behavior in production.

Dashboard showing API calls, costs, and performance metrics for Inference Endpoints.

Minimal ML framework written in Rust for efficient inference on CPU and GPU.

Open-source library for state-of-the-art diffusion model inference and training.

Optimized framework for fast and efficient text generation with quantization and tensor parallelism.

Open-source Python library with 80,000+ pre-trained models for PyTorch, TensorFlow, and JAX.

Classify audio files and recordings into categories for sound event detection.

Convert audio to text with multilingual support and speaker diarization.

Generate natural-sounding speech from text in multiple languages and voices.

Classify images into predefined categories using vision transformers and CNNs.

Perform semantic and instance segmentation to identify pixel-level regions.

Detect and localize objects in images with bounding boxes and confidence scores.

Control access to models and datasets by requiring user approval before download.

Create private models and datasets with restricted access and custom permissions.

Configurable request throttling and quota management for API endpoints.

No-code platform for training custom models without coding or GPU management.

Simplified API for fine-tuning pre-trained models with your own data in the cloud.

Train and share reinforcement learning models with benchmark environments.

Team workspaces for collaborative model development with role-based access control.

Git-based version control for models, datasets, and code with full commit history.