Hugging Face

Hugging Face supports small OCR models for low-end devices.

Maps inputs from different modalities into shared embedding space.

Score relevance between multimodal input pairs using AI.

Models map text, images, audio into shared embedding space.

Mutable storage solution for AI data without versioning issues.

Serverless compute platform supporting CPUs and GPUs for AI.

Enables interaction with papers using HuggingChat AI technology.

AI model for autonomous enterprise workflows and navigation.

0.3B-parameter model for document text parsing and recognition.

0.6B-parameter Transformer for open-vocabulary grounding and segmentation.

Decouples generation and training for improved AI performance.

Post-training library with 75 methods for AI systems.

Compact vision-language model for enterprise document understanding.

Asynchronous trainer for efficient reinforcement learning in TRL.

S3-like object storage for intermediate ML artifacts.

Load simulation environments directly from Hugging Face Hub.

Node-based visual workflow interface for Modular Diffusers.

Composable building blocks for creating diffusion pipelines.

Deploys CARLA simulator on HF Spaces for convenience.

Efficiently routes computation through experts in MoE models.

Improves tensor conversion scheduling for MoE models.

Introduces dynamic weight loading for efficient MoE model handling.

Skill for training AI models using Hugging Face Jobs.

Enhances GRPO with dense per-token reward signals for LLMs.

Build interactive web components with scoped CSS and JavaScript.