feat: Added AllMpnetBaseV2

README.md

@@ -24,6 +24,7 @@
 
 - [**BAAI/bge-small-en-v1.5**](https://huggingface.co/BAAI/bge-small-en-v1.5) - Default
 - [**sentence-transformers/all-MiniLM-L6-v2**](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2)
+- [**sentence-transformers/all-mpnet-base-v2**](https://huggingface.co/sentence-transformers/all-mpnet-base-v2)
 - [**mixedbread-ai/mxbai-embed-large-v1**](https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1)
 - [**Qdrant/clip-ViT-B-32-text**](https://huggingface.co/Qdrant/clip-ViT-B-32-text) - pairs with `clip-ViT-B-32-vision` for image-to-text search
 - [**BAAI/bge-large-en-v1.5**](https://huggingface.co/BAAI/bge-large-en-v1.5)

src/models/text_embedding.rs

@@ -15,6 +15,8 @@ pub enum EmbeddingModel {
     AllMiniLML12V2,
     /// Quantized sentence-transformers/all-MiniLM-L12-v2
     AllMiniLML12V2Q,
+    /// sentence-transformers/all-mpnet-base-v2
+    AllMpnetBaseV2,
     /// BAAI/bge-base-en-v1.5
     BGEBaseENV15,
     /// Quantized BAAI/bge-base-en-v1.5
@@ -111,6 +113,15 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
             additional_files: Vec::new(),
             output_key: None,
         },
+        ModelInfo {
+            model: EmbeddingModel::AllMpnetBaseV2,
+            dim: 768,
+            description: String::from("Sentence Transformer model, mpnet-base-v2"),
+            model_code: String::from("Xenova/all-mpnet-base-v2"),
+            model_file: String::from("onnx/model.onnx"),
+            additional_files: Vec::new(),
+            output_key: None,
+        },
         ModelInfo {
             model: EmbeddingModel::BGEBaseENV15,
             dim: 768,

src/text_embedding/impl.rs

@@ -173,6 +173,7 @@ impl TextEmbedding {
             EmbeddingModel::ParaphraseMLMiniLML12V2 => Some(Pooling::Mean),
             EmbeddingModel::ParaphraseMLMiniLML12V2Q => Some(Pooling::Mean),
             EmbeddingModel::ParaphraseMLMpnetBaseV2 => Some(Pooling::Mean),
+            EmbeddingModel::AllMpnetBaseV2 => Some(Pooling::Mean),
 
             EmbeddingModel::ModernBertEmbedLarge => Some(Pooling::Mean),
 

tests/embeddings.rs

@@ -38,6 +38,7 @@ fn verify_embeddings(model: &EmbeddingModel, embeddings: &[Embedding]) -> Result
         EmbeddingModel::AllMiniLML12V2Q => [-0.07808663, 0.27919534, -0.0770612, -0.75660324],
         EmbeddingModel::AllMiniLML6V2 => [0.59605527, 0.36542925, -0.16450031, -0.40903988],
         EmbeddingModel::AllMiniLML6V2Q => [0.5677276, 0.40180072, -0.15454668, -0.4672576],
+        EmbeddingModel::AllMpnetBaseV2=> [-0.51290065, -0.4844747, -0.53036124, -0.5337459],
         EmbeddingModel::BGEBaseENV15 => [-0.51290065, -0.4844747, -0.53036124, -0.5337459],
         EmbeddingModel::BGEBaseENV15Q => [-0.5130697, -0.48461288, -0.53067875, -0.5337806],
         EmbeddingModel::BGELargeENV15 => [-0.19347441, -0.28394595, -0.1549195, -0.22201893],