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Georgi Gerganov 2022-10-10 22:06:03 +03:00
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8
README.md
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@ -12,7 +12,7 @@ High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisp
- Zero memory allocations at runtime
- Runs on the CPU
- [C-style API](https://github.com/ggerganov/whisper.cpp/blob/master/whisper.h)
- Supported platforms: Linux, Mac OS (Intel and Arm), Raspberry Pi, Android
- Supported platforms: Linux, Mac OS (Intel and Arm), Windows (MinGW), Raspberry Pi, Android
## Usage
@ -34,7 +34,7 @@ For a quick demo, simply run `make base.en`:
```java
$ make base.en
cc -O3 -std=c11 -Wall -Wextra -Wno-unused-parameter -Wno-unused-function -pthread -c ggml.c
cc -O3 -std=c11 -Wall -Wextra -Wno-unused-parameter -Wno-unused-function -pthread -c ggml.c
c++ -O3 -std=c++11 -Wall -Wextra -Wno-unused-parameter -Wno-unused-function -pthread -c whisper.cpp
c++ -O3 -std=c++11 -Wall -Wextra -Wno-unused-parameter -Wno-unused-function -pthread main.cpp whisper.o ggml.o -o main
./main -h
@ -248,6 +248,8 @@ The original models are converted to a custom binary format. This allows to pack
- vocabulary
- weights
You can download the converted models using the [download-ggml-model.sh](download-ggml-model.sh) script.
You can download the converted models using the [download-ggml-model.sh](download-ggml-model.sh) script or from here:
https://ggml.ggerganov.com
For more details, see the conversion script [convert-pt-to-ggml.py](convert-pt-to-ggml.py) or the README in [models](models).

4
models/README.md
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@ -4,14 +4,14 @@ The [original Whisper PyTorch models provided by OpenAI](https://github.com/open
have been converted to custom `ggml` format in order to be able to load them in C/C++. The conversion has been performed using the
[convert-pt-to-ggml.py](convert-pt-to-ggml.py) script. You can either obtain the original models and generate the `ggml` files
yourself using the conversion script, or you can use the [download-ggml-model.sh](download-ggml-model.sh) script to download the
already converted models.
already converted models from https://ggml.ggerganov.com
Sample usage:
```java
$ ./download-ggml-model.sh base.en
Downloading ggml model base.en ...
models/ggml-base.en.bin 100%[=============================================>] 141.11M 5.41MB/s in 22s
models/ggml-base.en.bin 100%[=============================================>] 141.11M 5.41MB/s in 22s
Done! Model 'base.en' saved in 'models/ggml-base.en.bin'
You can now use it like this:

2
whisper.cpp
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@ -2387,7 +2387,7 @@ int whisper_full(
// print the prompt
//printf("\n\n");
//for (int i = 0; i < prompt.size(); i++) {
// printf("%s: prompt[%d] = %s\n", __func__, i, vocab.id_to_token[prompt[i]].c_str());
// printf("%s: prompt[%d] = %s\n", __func__, i, ctx->vocab.id_to_token[prompt[i]].c_str());
//}
//printf("\n\n");