Tools tagged with "Hugging Face integration"

Transformers is a Python library for developers and researchers running pretrained AI models or training models on their own hardware. It covers text, images, audio, video and multimodal tasks through shared model definitions.

MoneyPrinterTurbo is a self-hosted AI video generator for creators producing shorts from topics or keywords. It automates the production workflow while letting you supply your own content at each stage.

llama.vscode is a coding assistant for developers who want AI suggestions, chat, and an agent inside VS Code. It lets you use models on your own hardware or connect to external providers.

Optimum Quanto is an open-source PyTorch library for developers who want to reduce the memory needed to run models on their own hardware. It handles language models and image-generation models, with integrations for Hugging Face Transformers and Diffusers. The project is in maintenance mode, accepting minor fixes and documentation work rather than major features.

localGPT is a self-hosted document chat app for people who want to ask questions about files and summarise them on their own hardware. Its local processing keeps document content and chat data on the machine running the app.

Nemotron is NVIDIA's family of AI models for developers building agents that reason, write code and use tools. Teams can evaluate and adapt the models using published weights, training data and training recipes.

CogView4 is a text-to-image model for image creators and developers who want to generate images on their own hardware. It accepts Chinese and English descriptions and can include Chinese text in the results.

TensorRT is NVIDIA's inference toolkit for developers deploying AI applications on NVIDIA GPUs. Its compilers, runtimes and model optimizations target lower response latency and higher throughput on local machines, self-hosted servers and edge devices.

Garak is an LLM vulnerability scanner for developers and security teams assessing models or dialogue systems. It attempts to provoke unwanted responses so teams can identify weaknesses in the systems they test.

VoxInput is an open-source dictation tool for Linux and macOS that types spoken words into the active application. It's for people who want speech input across their desktop, including applications without their own dictation feature. On Linux, it also works in the system console.

Heretic modifies language models to reduce safety-related refusals without expensive post-training. It's for people who want fewer restrictions in models they run themselves, without manually tuning model internals.

EmbeddingGemma is a local AI embedding model for developers adding search and retrieval to applications. It represents text, images, audio and video in a shared space so apps can find related content across media types.

Qwen3-Embedding is a family of models for developers building search and text analysis on their own hardware or servers. It represents text as numerical vectors so applications can compare passages by meaning.

PixArt-Sigma generates images from text prompts on your own machine or a self-hosted server. It's for developers and researchers who want downloadable image models and the code to train their own.

ModernBERT is a family of text encoder models for developers building search and classification systems on their own hardware. The base checkpoints predict masked words; retrieval, classification and question answering require task-specific fine-tuning.

CosyVoice is a text-to-speech system for developers building speech applications on their own hardware or self-hosted servers. It can generate speech in a reference speaker's voice, including in another language, without training a separate model for each speaker.

Speech AI Forge is a self-hosted text-to-speech app for people making spoken audio or adding speech generation to their software. It brings several speech models into one Gradio web interface and also provides a separate API server.

ColPali is a document retrieval library for developers and researchers building search or retrieval-augmented generation systems. It matches text queries to page images, using visual content alongside text. The colpali-engine package is deprecated, and maintainers recommend Sentence Transformers for new projects and production use.

Open-Sora is an AI video generation project for researchers, developers and creators who want to run or adapt a model on their own GPUs. It focuses on animating reference images with text guidance and also accepts text alone.

OpenCLIP is a Python library for developers and researchers building image-text matching and zero-shot classification applications. It supports pretrained CLIP models and training models on your own hardware.

SetFit is a framework for developers and NLP practitioners who need to train text classifiers with a small amount of labeled data. It adapts pretrained Sentence Transformers to a classification task without requiring handcrafted prompts or words that stand in for class labels. Sentiment analysis is one supported use case.

VoiceCraft generates speech from text and edits existing recordings using a few seconds of a speaker's voice as reference. It's for researchers and developers who want to work with voice generation on their own hardware without training a separate model for each speaker.

Optimum is a collection of Python packages for developers adapting Hugging Face models to their deployment hardware. It extends Transformers, Diffusers, TIMM and Sentence Transformers with tools for faster inference and training.

KoboldCpp runs language models on your own hardware for chat, creative writing and roleplay. It's a fork of llama.cpp with a bundled KoboldAI Lite browser interface.

Chatterbox TTS Server turns text into speech on your own computer or server. It's for people making narration and audiobooks, or adding speech to apps through an API.

llmserve is a terminal app for people who keep local LLM models across several folders or inference tools. It brings model discovery and server management into one interface so you can choose an existing model and an available backend.

Kaito manages LLM inference, fine-tuning and document retrieval services in Kubernetes. It's for teams that want to run models in their own cluster with less manual work sizing GPU capacity and managing deployments.

WhisperSpeech is a text-to-speech system for developers and speech researchers who want to generate English audio with models they can run locally. It builds on OpenAI Whisper and provides pretrained models for use on your own hardware.

Lollms WebUI is a local AI interface for writing, coding assistance and media generation through a choice of models. The project receives minimal maintenance, and its interface has no built-in user authentication.

PapersGPT is an AI research assistant inside Zotero for researchers working through a paper library. It helps answer questions across saved research and turn findings into notes with citations back to the papers.

4M is a framework for researchers and developers who want to train and run models that combine images, text and other visual information. A single model can perform vision tasks and generate images from mixed or partial inputs.

StarCoder2 is a family of code generation models for developers who want code completion on their own hardware. These models predict continuations of code; they aren't instruction models, so conversational requests aren't their intended use.

Nanotron is a Python library for researchers and developers training language models on their own datasets and GPU infrastructure. It supports training on one machine or across multiple servers.

MTPLX is a native Mac app, command-line tool and local LLM server for people running chat or coding models on Apple Silicon. It uses a model's own multi-token prediction heads to accelerate generation without a separate draft model.