Update README

This commit is contained in:
Andreas Peldszus
2024-05-31 15:01:32 +02:00
parent 3a96f60006
commit 1ac7a278bb
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@@ -61,6 +61,18 @@ python3 run_server.py --port 9090 \
--omp_num_threads 4
```
#### Single model mode
By default, the server will instantiate a new whisper model for every client connection. I.e. for 4 concurrent connections, you need to have (V)RAM for 4x the model. Also, the connection will have to wait until the model is loaded, which might take a few seconds.
If you use a TensorRT or a custom faster_whisper model, you also set the server to instantiate the model only once and use the single on for all client connections, using the `--single-model` or `-sm` option:
```bash
python3 run_server.py -p 9090 \
-b tensorrt \
-trt /home/TensorRT-LLM/examples/whisper/whisper_large_v3 \
-m \
--single_model
```
### Running the Client
- Initializing the client with below parameters:
- `lang`: Language of the input audio, applicable only if using a multilingual model.