model-conversion : add support for SentenceTransformers #16387
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This commit adds support for models that use SentenceTransformer layers. The motivation for this is that if converted model includes any of the numbered layers specified in the original models repository then these changes enable these models to be used and verified. Currently the model-conversion only support the base model output without any of the additional transformation layers. Usage: Convert the model that also includes the SentenceTransformer layers: ```console (venv) $ export EMBEDDING_MODEL_PATH="~/google/embeddinggemma-300M" (venv) make embedding-convert-model ``` Verify the produced embeddings from the converted model against the original model embeddings: ```console (venv) make embedding-verify-logits-st ``` The original model can be run using SentenceTransformer: ```console (venv) make embedding-run-original-model-st ``` Run the converted model using "SentenceTransformer" layers whic enables pooling and normalization: ```console (venv) make embedding-run-converted-model-st ```
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This commit adds support for models that use SentenceTransformer layers.
The motivation for this is that if converted model includes any of the numbered layers specified in the original models repository then these changes enable these models to be used and verified. Currently the model-conversion only support the base model output without any of the additional transformation layers.
Usage:
Convert the model that also includes the SentenceTransformer layers:
Verify the produced embeddings from the converted model against the original model embeddings:
(venv) make embedding-verify-logits-stThe original model can be run using SentenceTransformer:
(venv) make embedding-run-original-model-stRun the converted model using "SentenceTransformer" layers whic enables pooling and normalization:
(venv) make embedding-run-converted-model-st