Tools tagged with "Hugging Face integration"

BiRefNet is an AI image segmentation model for developers and image workflow builders who need to separate subjects from backgrounds. It produces foreground masks for cutouts and has dedicated models for matting, where edges can include partial transparency.

Unlimited-OCR is an OCR model for developers building document extraction workflows on their own hardware or servers. It handles individual document images and multi-page inputs, including PDFs converted to page images.

MOSS-Music is a local AI model for people who need to describe, transcribe, or analyze recorded music. It works with full tracks and combines sung lyrics with musical details in its responses.

InternLM is a family of downloadable language models for developers and researchers building AI assistants or adapting models to their own applications. It includes base models for further training and chat models tuned to follow instructions.

IndexTTS is a local text-to-speech system for people creating spoken audio and developers adding speech generation to applications. It can reproduce a voice from a single reference recording.

Ludwig is a framework for developers and researchers training custom AI models without writing their own training loops. It handles preprocessing, training and evaluation from a model definition, covering LLMs as well as tabular and multimodal tasks.

SpecForge is an open-source framework for teams training draft models to speed up LLM inference in SGLang. It suits developers who want to train on their own hardware and use the resulting drafts directly with SGLang serving.

LocalVocal turns speech into live captions inside OBS for streamers and people recording video. It processes speech on your computer, so transcription can work offline without sending audio to a cloud service.

Pico MLX Server is a macOS app for people who want to run MLX models locally and use them with an existing AI chat client. It gives MLX Server a graphical interface and exposes local models through an OpenAI-compatible API. The project is open source under the MIT license and requires macOS Sonoma or later.

Maid is an Android AI chat app for people who want to chat with models on their phone and access remote models from the same interface. Local conversations work without an internet connection.

FastChat is a self-hosted LLM platform for developers and researchers who want to serve chat models on their own hardware and compare their responses. It powers Chatbot Arena and includes a locally hosted side-by-side comparison interface. The Python code is open source under Apache 2.0; model licenses apply separately, including Llama's license for Vicuna.

Dia generates spoken English conversations from a written script. It's for developers and researchers who want to produce two-speaker dialogue on their own hardware, with audio references to guide the voices and delivery.

Dolphin Document Parser converts PDFs and document images into structured content for developers working on document extraction. It handles digitally created and photographed pages, including documents that mix text with tables, formulas, and code.

GPT-NeoX is EleutherAI's framework for researchers and teams training language models with billions of parameters on their own GPU infrastructure. It focuses on training from scratch, with support for fine-tuning existing checkpoints.

SkinTokens is an AI rigging project for 3D artists and researchers preparing meshes for character animation or simulation. Its TokenRig model generates a skeleton hierarchy and the skin weights that control how the mesh moves with its bones. Local inference requires an NVIDIA GPU with at least 14 GB of memory.

KeyBERT is a Python library that extracts keywords and phrases by comparing their meaning with the document they come from. It's for developers and researchers who want to add keyword extraction to text processing projects without training a model from scratch. The library is open source under the MIT license.

lm-evaluation-harness is a Python framework for researchers and developers comparing language models on shared benchmarks. Public prompts help make results comparable across model checkpoints and research papers.

Spark-TTS is a local text-to-speech system for developers and researchers building speech applications. It can reproduce a voice from reference audio or create a synthetic speaker with chosen vocal traits.

PowerInfer is a local LLM inference engine for developers and researchers running large models on a PC with a consumer GPU. Its performance gains depend on sparse models, which use only part of their network for each input.

Agentlas OS is an open-source AI agent framework for projects that need specialist teams and shared project context. It runs on macOS, Windows and Linux, with local document indexing, semantic search and memory retrieval. You supply the model. Using a cloud model sends requests to that provider and may incur charges.

AgileRL is an open-source Python framework for teams training AI agents on their own tasks, including LLM agents and agents for robotics, finance or logistics. Its evolutionary hyperparameter tuning adjusts training settings during a run, reducing the need for separate tuning trials. The framework uses the Apache 2.0 license.

Florence-2 is Microsoft's vision model for developers building applications that describe images, extract text or locate objects on their own hardware. One model handles several image tasks selected through text prompts.

Distributed Llama runs language models across your own networked computers. It's for people who want to share inference work and model memory across several devices instead of fitting the whole workload on one machine.

Stable Video Diffusion turns a still image into a short video clip for artwork, design and video generation research. Developers and researchers can run it on their own hardware, but text prompts can't direct the output.

KServe serves LLMs and predictive machine learning models on your own Kubernetes infrastructure. It's for teams that need to put models from different frameworks into production through one serving platform.

Wyoming Faster Whisper converts speech to text on your own hardware for Home Assistant and other Wyoming-compatible clients. It's for home voice systems that need local transcription and better recognition of household names.

PEFT is a library for developers adapting pretrained AI models on their own hardware. It trains a small portion of a model's parameters to reduce the compute and storage costs of full fine-tuning.

LiteRT-LM is Google's open-source framework for developers building apps that run language models on the user's device. It uses LiteRT for local inference across mobile devices, desktops and browsers, with GPU and NPU acceleration. The project uses the Apache 2.0 license.

FinGPT is a financial LLM framework for researchers and developers building tools that interpret market news and company information. It includes trained models, financial datasets, and tools for adapting models to specific finance tasks.

VACE is an AI video model for creators and developers who want to generate footage or edit existing clips locally. It combines reference-based generation and video editing, including changes limited to masked areas.

Stable Diffusion 1.5 is an AI image generation model for artists and developers who want to create artwork or explore design ideas on their own hardware. It can start with a text prompt or modify an existing picture.

Stability Matrix is a desktop app for people who want to use several Stable Diffusion interfaces with one model library. It manages local Web UI packages and includes its own interface for generating images.

dots.ocr is a self-hosted OCR model for developers and teams that need text and page structure from multilingual documents. It combines text recognition and layout parsing in a single vision-language model you can run on your own hardware.

Moshi is a voice AI model and dialogue framework for researchers and developers building spoken applications. It processes speech directly and can listen while it speaks, including information such as emotion and non-verbal cues.