FunASR Colab Quickstart

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Run FunASR in a browser without preparing a local Python environment.

What the notebook covers

• Install FunASR and runtime dependencies in Colab.
• Pick cuda:0 automatically when a Colab GPU is available, otherwise use CPU.
• Transcribe a public sample audio file with paraformer-zh, VAD, and punctuation.
• Upload your own audio file and run the same model.
• Save the transcript JSON for sharing or issue reports.

Notes

• The first run downloads model files and may take a few minutes.
• CPU runtime works for a quick smoke test; GPU runtime is faster for longer audio.
• If you are evaluating production deployment, use the deployment matrix after the notebook works.
• For OpenAI-compatible HTTP service testing, use examples/openai_api.

Troubleshooting

Symptom	What to try
Colab runtime disconnects or resets	Reconnect the runtime, rerun the install cell, then rerun the model cell. The notebook does not persist Python packages across runtime resets.
GPU is unavailable	Use Runtime > Change runtime type > GPU. If no GPU is assigned, the notebook still works on CPU for a short smoke test.
Model download is slow	Rerun the cell after the network recovers. The first run downloads model files and later runs in the same runtime are faster.
Uploaded audio fails or is too large	Try a short WAV/MP3 first. For long files, trim a representative sample before using Colab.
Output is unexpected	Save the transcript JSON cell output and include it when opening an issue.

Notebook source: funasr_quickstart.ipynb.