Hugging Face

Trains student language models using feedback from multiple domain experts.

Testing toolkit validates AI model behavior using compact, pinned fixtures.

Connects AI development tools to Hugging Face through MCP servers.

Open biological research resource supporting AI-driven reuse of scientific data.

Open science initiative enabling AI-ready datasets, models, and code reuse.

Provides queryable Transformer compatibility results and execution scripts for Trainium.

Checks Transformer model compatibility with Trainium and provides reproducible execution scripts.

Load optimized TPU kernels to accelerate neural network model execution.

Generate images and videos on TPUs with native Diffusers pipelines.

Run Transformers models directly on TPUs using standard device placement.

Neuron kernel accelerates vision transformer operations on AWS Trainium hardware.

Diffusers supports Trainium image generation with compilation and tensor parallelism.

Hugging Face libraries enable standard distributed model training on Trainium.

Transformers runs text generation models directly on AWS Trainium devices.

Adapt Beam using supervised fine-tuning with memory-efficient LoRA adapter training.

Deploy Beam checkpoints through managed endpoints using quantized model formats.

Hosted Beam inference through Hugging Face's unified model routing API.

Native Beam inference support with structured responses and distributed execution.

Accelerates AI text tokenization using SIMD, caching, and lazy normalization.

Train image generation and instruction-based editing adapters with Diffusers scripts.

Diffusers integrates FLUX.3 for image generation, editing, and layout control.

Native Windows app for downloading and running AI models locally.

Dense embedding model built on UltraBERT architecture.

English encoder for classification and retrieval tasks.

AI tool for creating and deploying custom models efficiently.