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* embedding : show full embedding for single prompt To support the use case of creating an embedding for a given prompt, the entire embedding and not just the first part needed to be printed. Also, show cosine similarity matrix only if there is more than one prompt, as the cosine similarity matrix for a single prompt is always `1.00`. * Update examples/embedding/embedding.cpp --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> |
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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.