NeMo
Safetensors
GGUF
English
audio
audio-annotation
speech-recognition
speaker-diarization
emotion-recognition
sound-event-detection
vocal-burst
pipeline
mirror
imatrix
conversational
Instructions to use laion/universal-audio-annotation-pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use laion/universal-audio-annotation-pipeline with NeMo:
# tag did not correspond to a valid NeMo domain.
- llama-cpp-python
How to use laion/universal-audio-annotation-pipeline with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="laion/universal-audio-annotation-pipeline", filename="models/gemma-4-12b-it-gguf/gemma-4-12b-it-Q8_0.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use laion/universal-audio-annotation-pipeline with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf laion/universal-audio-annotation-pipeline:Q8_0 # Run inference directly in the terminal: llama-cli -hf laion/universal-audio-annotation-pipeline:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf laion/universal-audio-annotation-pipeline:Q8_0 # Run inference directly in the terminal: llama-cli -hf laion/universal-audio-annotation-pipeline:Q8_0
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf laion/universal-audio-annotation-pipeline:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf laion/universal-audio-annotation-pipeline:Q8_0
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf laion/universal-audio-annotation-pipeline:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf laion/universal-audio-annotation-pipeline:Q8_0
Use Docker
docker model run hf.co/laion/universal-audio-annotation-pipeline:Q8_0
- LM Studio
- Jan
- Ollama
How to use laion/universal-audio-annotation-pipeline with Ollama:
ollama run hf.co/laion/universal-audio-annotation-pipeline:Q8_0
- Unsloth Studio
How to use laion/universal-audio-annotation-pipeline with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for laion/universal-audio-annotation-pipeline to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for laion/universal-audio-annotation-pipeline to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for laion/universal-audio-annotation-pipeline to start chatting
- Pi
How to use laion/universal-audio-annotation-pipeline with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf laion/universal-audio-annotation-pipeline:Q8_0
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "laion/universal-audio-annotation-pipeline:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use laion/universal-audio-annotation-pipeline with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf laion/universal-audio-annotation-pipeline:Q8_0
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default laion/universal-audio-annotation-pipeline:Q8_0
Run Hermes
hermes
- Docker Model Runner
How to use laion/universal-audio-annotation-pipeline with Docker Model Runner:
docker model run hf.co/laion/universal-audio-annotation-pipeline:Q8_0
- Lemonade
How to use laion/universal-audio-annotation-pipeline with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull laion/universal-audio-annotation-pipeline:Q8_0
Run and chat with the model
lemonade run user.universal-audio-annotation-pipeline-Q8_0
List all available models
lemonade list
File size: 1,188 Bytes
ce6d303 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | [build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "moss-audio"
version = "0.1.0"
description = "MOSS-Audio: Open-source audio understanding model"
readme = "README.md"
requires-python = ">=3.10"
license = { file = "LICENSE" }
authors = [{ name = "OpenMOSS Team" }]
dependencies = [
"safetensors>=0.4.0",
"numpy>=2.0",
"soundfile>=0.12.0",
"tiktoken>=0.12.0",
"einops>=0.8.0",
"scipy>=1.12.0",
"tqdm>=4.60.0",
"packaging",
"gradio",
"requests",
"streamlit",
]
[project.optional-dependencies]
flash-attn = [
"flash-attn ; sys_platform == 'linux'",
"mps-flash-attn ; sys_platform == 'darwin'",
]
torch-runtime = [
"accelerate",
"torch==2.9.1+cu128 ; sys_platform == 'linux'",
"torchaudio==2.9.1+cu128 ; sys_platform == 'linux'",
"torch==2.9.1 ; sys_platform == 'darwin'",
"torchaudio==2.9.1 ; sys_platform == 'darwin'",
"torchcodec==0.9.*",
"transformers==4.57.1",
]
[project.urls]
Homepage = "https://github.com/OpenMOSS/MOSS-Audio"
Repository = "https://github.com/OpenMOSS/MOSS-Audio"
[tool.setuptools]
[tool.setuptools.packages.find]
include = ["src", "src.*"]
|