Tools tagged with "Hugging Face integration"

Alexandria Audiobook turns books into audio with separate narrator and character voices. It's for people who want to choose the cast and correct individual passages before exporting an audiobook.

MiniMind is a toolkit for learners and developers who want to understand language models by training small ones on their own hardware. Its core training algorithms use native PyTorch code that you can inspect and change.

insanely-fast-whisper is a command-line audio transcription tool for people who want to process recordings on their own hardware. It focuses on reducing transcription time through GPU acceleration.

KittenTTS is a Python text-to-speech library for developers adding local speech generation to apps or producing spoken audio from text. It supports voice cloning without model training and doesn't require a GPU.

Megatron-LM is a Python framework for researchers training large language models on NVIDIA GPU infrastructure. It provides reference training scripts for experimenting with models and studying distributed training.

MiniMax-M1 is a reasoning model for developers building AI agents or working on coding and mathematical problems with long inputs. You can deploy it on your own infrastructure.

kvpress is a Python library for developers and researchers reducing the memory needed for long-context LLM inference. It compresses the key-value cache that grows as a model processes longer inputs.

Snowflake Arctic Embed is an open-source family of text embedding models for developers building semantic search and document retrieval. It represents queries and documents as vectors so a search system can match them by meaning.

CAMEL is a Python framework for developers and researchers building AI agent teams with models running locally through Ollama or through remote providers. Its Ollama integration connects agents to a local model service; choosing OpenAI instead sends model requests to OpenAI and requires an API key. The framework is open source under Apache 2.0.

DiffRhythm is an AI music generation model for musicians and developers who want to create full-length songs on their own hardware. It uses diffusion to generate songs from lyric and reference-audio inputs.

LMDeploy is an open-source toolkit for developers who want to run language and vision-language models on their own GPU hardware. It supports offline batch processing and model servers for applications.

Intel Neural Compressor is a Python library for developers who want to compress AI models for deployment on their own hardware or servers. It supports LLMs and other deep learning models, with extensive testing on Intel platforms.

Whisper Desktop turns audio and video recordings into transcripts and subtitles on your computer. It's for people working with interviews, lectures, podcasts or videos who want a desktop interface for transcription and captioning.

Voice-Pro is a locally run speech processing and dubbing app for creators working with recordings or multilingual video. Its Gradio browser interface brings audio preparation, transcription and speech generation into one workspace. Internet access is required.

SkyReels-V2 is the downloadable video model family for developers and researchers who want to generate footage on their own GPUs. It includes Python inference code and model weights, distinct from the SkyReels web playground. Generation runs on your hardware.

Parakeet is NVIDIA's speech recognition model family. The linked English model, parakeet-tdt-0.6b-v2, is for developers building transcription services, subtitles and voice applications with a model they can run locally.

PaliGemma is a family of vision-language models for developers and researchers building applications that interpret images alongside text prompts. Pretrained models need fine-tuning to produce useful results; mix models can handle common tasks without further tuning.

Lumina-Image 2.0 generates images from text on your own hardware. It's for developers, researchers and people who want a model they can use in visual workflows or adapt with their own image collections.

Hugging Face CLI is a terminal tool for developers finding models and datasets for local AI projects or publishing their own work. It connects to the Hugging Face Hub, where those resources are hosted.

Text Generation Inference (TGI) serves LLMs on your own hardware for developers building chat apps and text generation services. The project is archived and no longer receives updates.

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, so it won't receive bug fixes or security patches.

Codestral and Devstral are coding models for developers who want to run completion tools or software engineering agents on their own hardware. The associated mistral-inference library is archived and no longer maintained.

RAGs lets you create a chatbot that answers questions about a single local file or web page. It's for people who want to describe their task in plain language and review the resulting setup through a visual interface.

Intel IPEX-LLM is a library for developers running or fine-tuning language models on Intel hardware. The project is archived and no longer maintained, and Intel has identified known security issues in the code.

Voxtral Small is an audio and text model for developers building self-hosted speech applications. The separate mistral-inference library is archived and no longer maintained; this model runs with vLLM or Hugging Face Transformers.

Pixtral is a family of Mistral models for developers building multimodal applications with downloaded weights. The associated mistral-inference library is archived and no longer maintained.

Mistral Small and Large are downloadable language models for developers building chat and text applications on their own infrastructure. Their reference library, mistral-inference, is archived and no longer maintained.