Tools tagged with "Hugging Face integration"

SUPIR restores and enlarges photos with diffusion models. It's for photographers and image researchers who want to process degraded images on their own hardware and control how closely the results follow the originals.

Cactus is an on-device AI engine for developers adding automation to mobile apps, wearables and other small devices. Its Needle model turns requests into tool calls locally, including when the device has no internet connection.

Whisper Local is a free, MIT-licensed dictation app for Windows and macOS, aimed at people who want voice typing without cloud processing. It's an alternative to Wispr Flow and Dragon that inserts speech into the active text field, including in chat apps, browsers and code editors. It doesn't require an account or API key.

MiniCPM-V is a family of local vision-language models for developers building applications that interpret images and video. It can run on phones and other hardware you control.

Haystack is a Python framework for developers building AI agents, document search and applications that answer questions using their own data. Its pipelines give teams control over the information a model receives and the steps that produce an answer.

DistillKit is a Python toolkit for developers and researchers training smaller language models to learn from larger ones. It addresses the memory and storage demands of distillation, particularly when you want to reuse one teacher's outputs across several student models.

Private Mind is a mobile AI assistant for people who want to chat and read documents without sending their content to a cloud service. It runs AI and document processing on your phone.

Docker Model Runner lets developers run AI models on their own computers or servers and connect them to applications. It combines local inference with model distribution through container registries.

OlliteRT lets you use an Android phone as a private AI server for apps on your local network. It's for people who want to run models locally for chat clients or home automation without a cloud inference service.

Nexa SDK is an on-device AI framework for developers building apps that run models on users' hardware. It covers language, vision and audio tasks through a shared interface for local inference.

VAR is an image generation research toolkit for researchers and developers studying autoregressive models as an alternative to diffusion. It generates images through next-scale prediction, building finer detail across successive image scales.

SmolLM3 is a compact language model from Hugging Face for developers building local AI applications and researchers studying model training. It has 3B parameters and comes in base and instruction-tuned variants.

IP-Adapter adds reference-image prompting to Stable Diffusion for artists and developers who want to guide generation with an image rather than describe every detail in words. It works with an existing text-to-image model and can combine image references with text prompts.

Seamless Communication is Meta's family of AI models for developers and researchers building multilingual speech applications. It covers translation and transcription, with dedicated models for conversations and expressive speech.

Sonar serves language and multimodal models for developers and teams running AI applications on their own hardware. It builds on vLLM and works with Hugging Face-compatible models.

OpenLLM is a self-hosted LLM server for developers connecting applications to models on their own hardware or servers. Its OpenAI-compatible interface lets existing clients use those models without adopting a separate API.

Abogen turns books, documents and subtitle files into narrated audio for readers making audiobooks and creators producing voiceovers. It can generate matching captions or follow timestamps for timed narration.

ACE-Step Studio is a desktop AI music generator for musicians and anyone who wants to create songs on their own hardware. It turns a short idea, or a description with lyrics, into a full vocal track or instrumental.

OLMo Core is a Python library for researchers and developers building and training OLMo language models. Its PyTorch components and official training scripts suit teams working with model training code on their own hardware or servers.

Command A is an open weights language model from Cohere and Cohere Labs for researchers and developers building document assistants, chatbots and AI agents. It handles text input and output, with a focus on multilingual business tasks.

llama.cpp is a local LLM inference engine for developers building AI applications or running models on hardware they control. It supports language and vision-language models, with command-line tools and a server API for using the engine directly or connecting other software.

Soup is a local LLM fine-tuning tool for developers and teams adapting models to their own datasets. It brings training, evaluation and export into one workflow that runs on your own hardware without requiring a cloud service.

llama-cpp-python is for developers adding local LLM inference to Python applications or connecting existing API clients to models on their own hardware. It brings llama.cpp into a Python library and a self-hosted server.

Qube is a desktop AI assistant for people who want to chat with models and work with private documents on their own hardware. It combines a document library with persistent memory and research tools that provide citations you can inspect.

Axolotl is a free, open-source LLM fine-tuning framework for developers and researchers adapting models to their own data. It supports training on local hardware or cloud infrastructure you control.

E5 Embeddings is a family of text embedding models for developers building search and retrieval systems. It represents text as numerical vectors so applications can match queries with relevant passages on their own hardware.

WhisperLiveKit is a self-hosted speech-to-text server for meeting transcripts, live captions and apps that need speech recognition as people talk. It processes audio on your own machine or server.

Depth Anything estimates depth from ordinary images for developers and researchers who need depth maps without a depth camera. Its pretrained models show which parts of a scene are nearer or farther away; separate fine-tuned models estimate metric depth.

smolagents is a Python AI agent library for developers building software that uses tools and calculations to complete tasks. Its CodeAgent writes and executes Python actions, combining tool calls with loops and conditional logic.

Yi is a family of language models from 01.AI for developers and researchers who want to run English and Chinese AI on their own hardware. It includes chat models for conversation and base models you can adapt to specific tasks.

MLX Omni Server lets developers use local models through both OpenAI-compatible and Anthropic-compatible APIs on an Apple Silicon Mac. It's for applications built around those SDKs that need inference on hardware the developer controls. Apple's MLX framework provides hardware acceleration, and all AI processing stays on the Mac.

OpenRLHF is a self-hosted Python framework for researchers and teams training language models with human feedback or custom rewards. It supports fine-tuning and reinforcement learning on your own GPU hardware, including training agents that interact with an environment.

IndicTrans2 is a family of translation models for developers building multilingual applications and researchers working on Indian languages. It covers all 22 scheduled languages of India, including languages with limited training data.

InternVL is a family of vision-language models for developers and researchers building AI applications that interpret images and answer questions about them. Downloadable models let teams host inference themselves.