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embeddinggemma-300m-ONNX

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Transformers.js

feature-extraction

text-embeddings-inference

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Xenova HF Staff commited on Sep 4

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@@ -44,7 +44,7 @@ The small size and on-device focus makes it possible to deploy in environments w
 These model weights are designed to be used with [Transformers.js](https://huggingface.co/docs/transformers.js/en/index).
-**NOTE**: EmbeddingGemma activations do not support `float16` or its derivatives. Please use `float32`, `q8`, or `q4` as appropriate for your hardware.
 #### Transformers.js in JavaScript

 These model weights are designed to be used with [Transformers.js](https://huggingface.co/docs/transformers.js/en/index).
+**NOTE**: EmbeddingGemma activations do not support `fp16` or its derivatives. Please use `fp32`, `q8`, or `q4` as appropriate for your hardware.
 #### Transformers.js in JavaScript