Jackmin108
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sentence-t5-base-fp32

Sentence Similarity

sentence-transformers

feature-extraction

Inference Endpoints

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Jackmin108 commited on Mar 12

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@@ -15,7 +15,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentence
 This model was converted from the Tensorflow model [st5-base-1](https://tfhub.dev/google/sentence-t5/st5-base/1) to PyTorch. When using this model, have a look at the publication: [Sentence-T5: Scalable sentence encoders from pre-trained text-to-text models](https://arxiv.org/abs/2108.08877). The tfhub model and this PyTorch model can produce slightly different embeddings, however, when run on the same benchmarks, they produce identical results.
-The model uses only the encoder from a T5-base model. The weights are stored in FP16.
 ## Usage (Sentence-Transformers)

 This model was converted from the Tensorflow model [st5-base-1](https://tfhub.dev/google/sentence-t5/st5-base/1) to PyTorch. When using this model, have a look at the publication: [Sentence-T5: Scalable sentence encoders from pre-trained text-to-text models](https://arxiv.org/abs/2108.08877). The tfhub model and this PyTorch model can produce slightly different embeddings, however, when run on the same benchmarks, they produce identical results.
+The model uses only the encoder from a T5-base model. The weights are stored in FP32.
 ## Usage (Sentence-Transformers)