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Minsoo Cheong deb7240100
embedding : adjust n_ubatch value (#6296) 
* embedding: assign `n_ubatch` value, print error on `n_batch` overflow

* Update examples/embedding/embedding.cpp

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>

* use %ld instead of %lld

* Revert "use %ld instead of %lld"

This reverts commit ea753ede90.

---------

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
2024-03-26 11:11:46 +02:00
..
CMakeLists.txt build : link against build info instead of compiling against it (#3879) 2023-11-02 08:50:16 +02:00
embedding.cpp embedding : adjust n_ubatch value (#6296) 2024-03-26 11:11:46 +02:00
README.md embedding : update README.md (#3224) 2023-09-21 11:57:40 +03:00

README.md

llama.cpp/example/embedding

This example demonstrates generate high-dimensional embedding vector of a given text with llama.cpp.

Quick Start

To get started right away, run the following command, making sure to use the correct path for the model you have:

Unix-based systems (Linux, macOS, etc.):

./embedding -m ./path/to/model --log-disable -p "Hello World!" 2>/dev/null

Windows:

embedding.exe -m ./path/to/model --log-disable -p "Hello World!" 2>$null

The above command will output space-separated float values.