Tools tagged with "Hugging Face integration"

Handy is a free, MIT-licensed speech-to-text app for people who want to dictate wherever they type on a computer. It runs on Windows, macOS and Linux. Transcription happens locally, so your voice stays on your machine and the app can work offline.

Pooled runs a single open model across browser tabs on laptops, desktops and phones, combining their memory when the model won't fit on one device. It's for people who want local AI chat or a coding assistant using hardware they already have. It's open source under the MIT license and requires no account or per-device installation.

exo is a local LLM runner that combines your devices into a cluster, letting you use models too large for one machine's memory. It's for people who want to run large models on their own hardware and developers connecting existing AI clients to local inference. It runs on macOS and Linux under the Apache 2.0 license.

Jan gives people a ChatGPT-style chat interface for AI models running on their own computer. It's free and available for Windows, macOS and Linux. Local chats work offline, with the model and conversation kept on your machine. You can also use cloud models when you want access to a hosted provider.

Diffusers is an open-source Python library for developers and researchers who want to run diffusion models on their own hardware or build generation features into an application. It uses PyTorch and supports image, video and audio generation. The library is licensed under Apache 2.0 and supports Apple Silicon.

llama.cpp runs language models on your own hardware and can serve them from a machine you control. It’s an MIT-licensed, open source inference engine for people building local AI apps, running a private model server, or using a model directly from the command line. It supports vision-language models too.

IndexTTS, currently IndexTTS-2.5, is a local text-to-speech system that can reproduce a speaker's voice using one reference recording. It's for people creating spoken audio and developers building speech generation into their own applications. Voice identity and emotion have separate controls, so an emotional reference can shape the delivery while a different recording supplies the voice.

whisper.cpp runs OpenAI's Whisper speech recognition models on your own hardware, with fully offline transcription once you've downloaded a model. It's for developers building speech-to-text into applications and people who want to transcribe audio locally. Audio can stay on-device rather than going to a cloud transcription service. The project is open source under the MIT license.

Wan2.2 is an open source family of video generation models for creators and developers who want to make clips on their own GPUs. Licensed under Apache 2.0, it covers text-to-video and image-to-video generation, with separate models for speech-driven video and character animation. Generation runs on your hardware when you use the downloadable models.

Qwen3 is a family of language models from Alibaba Cloud’s Qwen team for people who want to run models locally or on their own servers. It spans smaller and larger dense models as well as mixture-of-experts models. The weights are publicly available.

VibeVoice is a family of MIT-licensed, open-source voice AI models for developers and researchers building local transcription or speech generation tools. Its speech recognition models combine transcript text with speaker labels and timestamps, so recordings retain information about who spoke and when.

Transformers is a Python library for developers and researchers who want to run pretrained AI models or train their own on hardware they control. It covers language, images, audio, video and multimodal work through a shared way of defining models. The library runs in a local Python environment; pretrained checkpoints are available from the separate Hugging Face Hub.

Hunyuan3D generates textured 3D assets from reference images or text and can run on your own computer. It's for 3D artists, hobbyists and developers who want AI-generated meshes they can use in other software. It supports macOS, Windows and Linux; Hunyuan3D Studio is a separate hosted option.

QMD is a local search engine for people with Markdown notes, meeting transcripts, or documentation they want to search themselves or make available to an AI agent. It accepts exact keywords and natural-language queries, with indexing and model inference running on your own machine. It's open source under MIT.

RecurseChat is a paid Mac app for people who want to chat with AI and ask questions about their files on their own computer. It runs local LLMs without an internet connection or a server, keeping local conversations on the device. The same app also connects to Claude and ChatGPT, so you can choose local processing or a cloud provider.

Prodigy is a proprietary annotation tool that runs on your own machines, including air-gapped systems without an internet connection. It's for developers and research teams building training and evaluation datasets for custom AI models. The Python library includes a web application where annotators can label data without programming knowledge.

LLMKube is a free, open-source Kubernetes operator for teams and homelab owners running local LLM inference across their own hardware. It manages Linux GPU servers and Apple Silicon Macs together, so a mixed fleet can serve models through the same platform. It uses the Apache 2.0 license.

DataDreamer connects LLM prompting, synthetic data generation, and model training in one Python library. It's for researchers and developers who want to build datasets and use them to fine-tune or align models in reproducible workflows. The library is open source under the MIT license.

Seed-VC changes recorded speech or singing to sound like a voice supplied in a short reference clip, without training a separate model for that speaker. It runs locally on Windows, Linux and Apple Silicon Macs, with uses in audio production, live streaming and online meetings. The project is archived and no longer maintained.

so-vits-svc is an offline AI framework for changing the voice in an existing singing recording while preserving its pitch and intonation. It's aimed at developers and researchers who want to train their own singing voices, including fictional character voices. The project is archived and no longer maintained.

Qwen3-Embedding is a family of text embedding models for developers building search and document analysis on their own hardware or servers. It turns text into numerical representations that applications can compare by meaning. Its multilingual support covers languages including English, Chinese, Arabic and Ukrainian, as well as programming languages.

FluxGym is a local web interface for training FLUX LoRAs on your own images, with support for GPUs with 12GB, 16GB or 20GB of VRAM. It's for people who want to customize an image model through a browser while retaining access to detailed training controls. It runs on Windows and Linux, with Docker support, and is open source under the MIT license.

Riffusion is a Python library for generating music and audio on your own hardware using Stable Diffusion. It's for developers and musicians who want to experiment with text-driven sound generation or build it into an app. The hobby project is no longer actively maintained.

Verba is a self-hosted document chatbot for people who want to ask questions across their files and knowledge bases. The project is archived and no longer maintained. It uses Weaviate to find relevant passages and gives those passages to a language model to generate answers.

insanely-fast-whisper is a command-line tool for people who want to transcribe audio on their own hardware, with a focus on processing long recordings quickly. It runs OpenAI's Whisper locally on NVIDIA GPUs or Apple Silicon Macs, including support for Windows with CUDA. The project is open source under the Apache 2.0 license.

Stable Fast 3D turns a single object image into a textured 3D mesh on your own hardware. It's aimed at game and VR developers, designers and people creating product models for e-commerce. Built on TripoSR, it uses a retrained model designed to produce meshes and textures suitable for use in games and other 3D projects.

AudioLDM 2 generates sound effects, music and speech on your own hardware. It's a Python tool for people experimenting with synthetic audio, including sound designers and researchers who want to work with pretrained models. A Gradio browser interface and command-line tools provide access to local generation; a hosted Hugging Face demo is also available.

Nomic Embed Text v1.5 is an English text embedding model for developers building semantic search, document retrieval, and RAG applications on their own hardware or servers. It turns text into numerical representations that applications can compare by meaning. Its main distinction is adjustable embedding size: you can use smaller vectors when storage matters, with a tradeoff in retrieval quality.

LMQL is a programming language for developers who need model calls and ordinary Python logic in the same program. It lets you define rules for generated text, including types, length limits, allowed answers and stopping phrases. Those rules apply during generation, so you can constrain intermediate responses as well as the final output.

DiffRhythm is a local AI music generation model for musicians, developers and researchers who want to create full-length songs on their own hardware. It uses latent diffusion to generate songs with vocals and accompaniment, and can also produce instrumental music. The full model supports songs up to 4 minutes and 45 seconds.

nanoGPT is a Python toolkit for developers and researchers who want to train GPT models on their own hardware or fine-tune existing GPT-2 checkpoints. Its author has deprecated the project and points readers to nanochat. The MIT-licensed code remains available for study and modification.

Stable Audio Open is a text-to-audio model you can run on your own hardware to generate sound effects, field recordings and music samples. It's aimed at artists and machine learning practitioners experimenting with audio generation, and it performs better on environmental sounds and effects than on music.

EmbeddingGemma is a text embedding model for developers building search and document features that run on phones, laptops or tablets. Based on Gemma 3, it converts text into numerical representations so applications can find related passages by meaning. Embeddings stay on your hardware, and the model works without an internet connection.

Snowflake Arctic Embed is a family of open-source text embedding models for developers building semantic search and document retrieval systems. It turns queries and documents into numerical representations that a search system can compare by meaning. The models use the Apache 2.0 license.

GTE (General Text Embedding) is Alibaba’s family of downloadable models for representing text as vectors. Developers use these representations to compare queries with documents, cluster related text or supply retrieval components for larger applications.

mxbai-embed is Mixedbread’s downloadable text embedding model family for developers building their own retrieval systems. It converts queries and passages into vectors that an application can compare for relevance or similarity.