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 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

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 13, 2025

Commit

cd7fb92

1 Parent(s): fa46942

update

Browse files

Files changed (1) hide show

transcribe/strategy.py +6 -6

transcribe/strategy.py CHANGED Viewed

@@ -253,8 +253,8 @@ class TranscriptStabilityAnalyzer:
         chunks = curr.split_by(SplitMode.PUNCTUATION)
         if len(chunks) > 2:
             stable, remaining = chunks[:-2], chunks[-2:]
-            stable_str = self.merge_chunks(stable)
-            remaining_str = self.merge_chunks(remaining)
             yield from self._yield_commit_results(
                 stable, remaining, is_end_sentence=True  # 暂时硬编码为True
             )
@@ -266,10 +266,10 @@ class TranscriptStabilityAnalyzer:
     def _yield_commit_results(self, stable_chunk, remaining_chunks, is_end_sentence: bool) -> Iterator[TranscriptResult]:
-        stable_str = stable_chunk.join() if hasattr(stable_chunk, "join") else self.merge_chunks([stable_chunk])
         remaining_str = self.merge_chunks(remaining_chunks)
-        frame_cut_index = stable_chunk.get_buffer_index()
         logger.debug(f"Current cut index: {frame_cut_index}, Stable string: {stable_str}, Remaining_str:{remaining_str}")
         prev_seg_id = self._transcript_buffer.get_seg_id()
@@ -279,7 +279,7 @@ class TranscriptStabilityAnalyzer:
         logger.debug(f"current buffer: {self._transcript_buffer.__dict__}")
         if curr_seg_id > prev_seg_id:
-            # 表示生成了一个新段落
             yield TranscriptResult(
                 seg_id=prev_seg_id,
                 cut_index=frame_cut_index,
@@ -290,7 +290,7 @@ class TranscriptStabilityAnalyzer:
         # 如果还有挂起的文本
         if (current_not_commit_text := self._transcript_buffer.current_not_commit_text.strip()):
             yield TranscriptResult(
-                seg_id=self._transcript_buffer.get_seg_id(),
                 cut_index=frame_cut_index,
                 context=current_not_commit_text
             )

         chunks = curr.split_by(SplitMode.PUNCTUATION)
         if len(chunks) > 2:
             stable, remaining = chunks[:-2], chunks[-2:]
+            # stable_str = self.merge_chunks(stable)
+            # remaining_str = self.merge_chunks(remaining)
             yield from self._yield_commit_results(
                 stable, remaining, is_end_sentence=True  # 暂时硬编码为True
             )
     def _yield_commit_results(self, stable_chunk, remaining_chunks, is_end_sentence: bool) -> Iterator[TranscriptResult]:
+        stable_str = stable_chunk.join() if hasattr(stable_chunk, "join") else self.merge_chunks(stable_chunk)
         remaining_str = self.merge_chunks(remaining_chunks)
+        frame_cut_index = stable_chunk[-1].get_buffer_index() if isinstance(stable_chunk, list) else stable_chunk.get_buffer_index()
         logger.debug(f"Current cut index: {frame_cut_index}, Stable string: {stable_str}, Remaining_str:{remaining_str}")
         prev_seg_id = self._transcript_buffer.get_seg_id()
         logger.debug(f"current buffer: {self._transcript_buffer.__dict__}")
         if curr_seg_id > prev_seg_id:
+            # 表示生成了一个新段落 换行
             yield TranscriptResult(
                 seg_id=prev_seg_id,
                 cut_index=frame_cut_index,
         # 如果还有挂起的文本
         if (current_not_commit_text := self._transcript_buffer.current_not_commit_text.strip()):
             yield TranscriptResult(
+                seg_id=curr_seg_id+1,
                 cut_index=frame_cut_index,
                 context=current_not_commit_text
             )