]> git.djapps.eu Git - pkg/ggml/sources/whisper.cpp/commitdiff
readme : update comment about source code
authorGeorgi Gerganov <redacted>
Sun, 12 Nov 2023 15:47:37 +0000 (17:47 +0200)
committerGitHub <redacted>
Sun, 12 Nov 2023 15:47:37 +0000 (17:47 +0200)
README.md

index e4f9007d683669a48ae9444b6ead6782834d4021..e2c247c47f35925162631dde49ed17322fcf6a1e 100644 (file)
--- a/README.md
+++ b/README.md
@@ -34,10 +34,8 @@ Supported platforms:
 - [x] Windows ([MSVC](https://github.com/ggerganov/whisper.cpp/blob/master/.github/workflows/build.yml#L117-L144) and [MinGW](https://github.com/ggerganov/whisper.cpp/issues/168)]
 - [x] [Raspberry Pi](https://github.com/ggerganov/whisper.cpp/discussions/166)
 
-The entire implementation of the model is contained in 2 source files:
-
-- Tensor operations: [ggml.h](ggml.h) / [ggml.c](ggml.c)
-- Transformer inference: [whisper.h](whisper.h) / [whisper.cpp](whisper.cpp)
+The entire high-level implementation of the model is contained in [whisper.h](whisper.h) and [whisper.cpp](whisper.cpp).
+The rest of the code is part of the [ggml](https://github.com/ggerganov/ggml) machine learning library.
 
 Having such a lightweight implementation of the model allows to easily integrate it in different platforms and applications.
 As an example, here is a video of running the model on an iPhone 13 device - fully offline, on-device: [whisper.objc](examples/whisper.objc)