Instructions to use MoYoYoTech/Translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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

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 new

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 new

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

daihui.zhang commited on Apr 11, 2025

Commit

c96e5e2

1 Parent(s): 138d976

update api entrypoint

Browse files

Files changed (2) hide show

frontend/index.html +2 -48
main.py +1 -1

frontend/index.html CHANGED Viewed

@@ -10,52 +10,6 @@
   </head>
   <body>
     <div id="app"></div>
   </body>
-  <script>
-    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:9090/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>

   </head>
   <body>
     <div id="app"></div>
   </body>
+</html>

main.py CHANGED Viewed

@@ -39,7 +39,7 @@ async def lifespan(app:FastAPI):
 app = FastAPI(lifespan=lifespan)
-app.mount("/translate", StaticFiles(directory="frontend"),)
 pipe = None
 @app.websocket("/ws")

 app = FastAPI(lifespan=lifespan)
+app.mount("/trans", StaticFiles(directory="frontend"),)
 pipe = None
 @app.websocket("/ws")