Instructions to use MoYoYoTech/Translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use MoYoYoTech/Translator with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="MoYoYoTech/Translator", filename="moyoyo_asr_models/qwen2.5-1.5b-instruct-q5_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 MoYoYoTech/Translator with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf MoYoYoTech/Translator:Q5_0 # Run inference directly in the terminal: llama-cli -hf MoYoYoTech/Translator:Q5_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf MoYoYoTech/Translator:Q5_0 # Run inference directly in the terminal: llama-cli -hf MoYoYoTech/Translator:Q5_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 MoYoYoTech/Translator:Q5_0 # Run inference directly in the terminal: ./llama-cli -hf MoYoYoTech/Translator:Q5_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 MoYoYoTech/Translator:Q5_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf MoYoYoTech/Translator:Q5_0
Use Docker
docker model run hf.co/MoYoYoTech/Translator:Q5_0
- LM Studio
- Jan
- Ollama
How to use MoYoYoTech/Translator with Ollama:
ollama run hf.co/MoYoYoTech/Translator:Q5_0
- Unsloth Studio
How to use MoYoYoTech/Translator 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 MoYoYoTech/Translator 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 MoYoYoTech/Translator to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MoYoYoTech/Translator to start chatting
- Pi
How to use MoYoYoTech/Translator with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf MoYoYoTech/Translator:Q5_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": "MoYoYoTech/Translator:Q5_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use MoYoYoTech/Translator with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf MoYoYoTech/Translator:Q5_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 MoYoYoTech/Translator:Q5_0
Run Hermes
hermes
- Docker Model Runner
How to use MoYoYoTech/Translator with Docker Model Runner:
docker model run hf.co/MoYoYoTech/Translator:Q5_0
- Lemonade
How to use MoYoYoTech/Translator with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MoYoYoTech/Translator:Q5_0
Run and chat with the model
lemonade run user.Translator-Q5_0
List all available models
lemonade list
| <html lang="zh"> | |
| <head> | |
| <meta charset="UTF-8" /> | |
| <title>试试翻译</title> | |
| <style> | |
| body { | |
| background-color: #f9f9fc; | |
| font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", sans-serif; | |
| margin: 0; | |
| padding: 2rem; | |
| } | |
| .translation-box { | |
| background: #f2f2f8; | |
| border-radius: 12px; | |
| padding: 1.5rem; | |
| max-width: 800px; | |
| margin: 0 auto; | |
| min-height: 200px; | |
| } | |
| .entry { | |
| margin-bottom: 1.5rem; | |
| } | |
| .timestamp { | |
| font-size: 0.75rem; | |
| color: #999; | |
| } | |
| .original { | |
| font-size: 1rem; | |
| color: #333; | |
| } | |
| .translation { | |
| font-size: 1rem; | |
| font-weight: bold; | |
| color: #000; | |
| } | |
| .footer { | |
| display: flex; | |
| justify-content: space-between; | |
| align-items: center; | |
| margin-top: 2rem; | |
| } | |
| .lang-select { | |
| background: white; | |
| border-radius: 9999px; | |
| padding: 0.4rem 1rem; | |
| border: none; | |
| font-size: 1rem; | |
| box-shadow: 0 0 0 1px #ddd; | |
| } | |
| .record-button { | |
| background-color: #1e40af; | |
| color: white; | |
| border: none; | |
| padding: 0.6rem 1.2rem; | |
| border-radius: 9999px; | |
| font-size: 1rem; | |
| cursor: pointer; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="translation-box" id="translationBox"> | |
| <!-- 实时内容将插入这里 --> | |
| </div> | |
| <div class="footer"> | |
| <select class="lang-select"> | |
| <option>中文 » 英语</option> | |
| </select> | |
| <button class="record-button" onclick="startRecording()">🎤 录音</button> | |
| </div> | |
| <script> | |
| let ws; | |
| let mediaRecorder; | |
| function formatTimestamp(ms) { | |
| const sec = ms / 1000; | |
| const min = Math.floor(sec / 60); | |
| const s = (sec % 60).toFixed(1); | |
| return `${String(min).padStart(2, '0')}:${s.padStart(4, '0')}`; | |
| } | |
| let lastSegId = null; // 用于存储上一个 seg_id | |
| function addTranslation(result) { | |
| const box = document.getElementById('translationBox'); | |
| // 创建一个新的 div 来显示翻译 | |
| const entry = document.createElement('div'); | |
| entry.className = 'entry'; | |
| console.log(result); | |
| const start = formatTimestamp(result.bg); | |
| const end = formatTimestamp(result.ed); | |
| // 判断是否是新的一行 | |
| if (result.seg_id === lastSegId) { | |
| // 如果 seg_id 相同,更新该行内容 | |
| const existingEntry = box.querySelector(`.entry[data-seg-id="${result.seg_id}"]`); | |
| if (existingEntry) { | |
| const translationDiv = existingEntry.querySelector('.translation'); | |
| translationDiv.innerHTML = result.tranContent; | |
| } | |
| } else { | |
| // 如果 seg_id 不同,表示是新的行,添加新行 | |
| entry.setAttribute('data-seg-id', result.seg_id); // 设置 seg_id | |
| entry.innerHTML = ` | |
| <div class="original">${result.context}</div> | |
| <div class="translation">${result.tranContent}</div> | |
| `; | |
| box.appendChild(entry); | |
| } | |
| // 更新 lastSegId 以便下一次判断 | |
| lastSegId = result.seg_id; | |
| } | |
| async function startRecording() { | |
| const stream = await navigator.mediaDevices.getUserMedia({ audio: true }); | |
| const audioContext = new AudioContext({ sampleRate: 16000 }); | |
| const source = audioContext.createMediaStreamSource(stream); | |
| const processor = audioContext.createScriptProcessor(4096, 1, 1); | |
| const wsUrl = "ws://localhost:9191/ws?from=zh&to=en"; | |
| ws = new WebSocket(wsUrl); | |
| ws.binaryType = "arraybuffer"; | |
| ws.onopen = () => { | |
| console.log("WebSocket opened"); | |
| source.connect(processor); | |
| processor.connect(audioContext.destination); | |
| processor.onaudioprocess = (e) => { | |
| const input = e.inputBuffer.getChannelData(0); | |
| const buffer = new Int16Array(input.length); | |
| for (let i = 0; i < input.length; i++) { | |
| buffer[i] = Math.max(-1, Math.min(1, input[i])) * 0x7FFF; | |
| } | |
| ws.send(buffer); | |
| }; | |
| }; | |
| ws.onmessage = (event) => { | |
| try { | |
| const msg = JSON.parse(event.data); | |
| if (msg.result) { | |
| addTranslation(msg.result); | |
| } | |
| } catch (e) { | |
| console.error("Parse error:", e); | |
| } | |
| }; | |
| ws.onerror = (e) => console.error("WebSocket error:", e); | |
| ws.onclose = () => { | |
| console.log("WebSocket closed"); | |
| processor.disconnect(); | |
| source.disconnect(); | |
| }; | |
| } | |
| </script> | |
| </body> | |
| </html> | |