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
| import unittest | |
| from transcribe.strategy import TranscriptBuffer # 请替换为你的实际模块名 | |
| class TestTranscriptBuffer(unittest.TestCase): | |
| def setUp(self): | |
| self.buffer = TranscriptBuffer() | |
| def test_update_pending_text(self): | |
| self.buffer.update_pending_text("Hello") | |
| self.assertEqual(self.buffer.pending_text, "Hello") | |
| def test_commit_line(self): | |
| self.buffer.update_pending_text("This is a line.") | |
| self.buffer.commit_line() | |
| self.assertEqual(self.buffer.paragraph, "This is a line.") | |
| self.assertEqual(self.buffer.pending_text, "") | |
| def test_commit_paragraph(self): | |
| self.buffer.update_pending_text("Sentence 1.") | |
| self.buffer.commit_line() | |
| self.buffer.update_pending_text("Sentence 2.") | |
| self.buffer.commit_line() | |
| self.buffer.commit_paragraph(end_of_sentence=True) | |
| self.assertEqual(self.buffer.get_seg_id(), 1) | |
| self.assertEqual(self.buffer.latest_paragraph, "Sentence 1.Sentence 2.") | |
| self.assertEqual(self.buffer.paragraph, "") | |
| self.assertEqual(self.buffer.pending_text, "") | |
| def test_commit_paragraph_without_end(self): | |
| self.buffer.update_pending_text("Incomplete sentence.") | |
| self.buffer.commit_line() | |
| self.buffer.commit_paragraph(end_of_sentence=False) | |
| # 段落不应提交 | |
| self.assertEqual(self.buffer.get_seg_id(), 0) | |
| self.assertEqual(self.buffer.paragraph, "Incomplete sentence.") | |
| def test_update_and_commit_end_sentence(self): | |
| self.buffer.update_and_commit("Stable.", "Remaining", is_end_sentence=True) | |
| self.assertEqual(self.buffer.latest_paragraph, "Stable.") | |
| self.assertEqual(self.buffer.pending_text, "Remaining") | |
| self.assertEqual(self.buffer.paragraph, "") | |
| def test_update_and_commit_partial_sentence(self): | |
| self.buffer.update_and_commit("Partial", "New Buffer", is_end_sentence=False) | |
| self.assertEqual(self.buffer.paragraph, "Partial") | |
| self.assertEqual(self.buffer.pending_text, "New Buffer") | |
| self.assertEqual(self.buffer.get_seg_id(), 0) | |
| def test_current_not_commit_text(self): | |
| self.buffer.update_and_commit("Part 1.", "Live text", is_end_sentence=False) | |
| self.assertEqual(self.buffer.current_not_commit_text, "Part 1.Live text") | |
| if __name__ == "__main__": | |
| unittest.main() | |