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SentenceTransformers Documentation — Sentence Transformers documentation
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SentenceTransformers Documentation — Sentence Transformers documentation
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- [H1] SentenceTransformers Documentation
- [H1] Usage
- [H1] What Next?
- [H1] Citing
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| Anchor | Type | Juice |
|---|---|---|
| Installation | Interno | Passing Juice |
| Install with pip | Interno | Passing Juice |
| Install with Conda | Interno | Passing Juice |
| Install from Source | Interno | Passing Juice |
| Editable Install | Interno | Passing Juice |
| Install PyTorch with CUDA support | Interno | Passing Juice |
| Quickstart | Interno | Passing Juice |
| Sentence Transformer | Interno | Passing Juice |
| Cross Encoder | Interno | Passing Juice |
| Sparse Encoder | Interno | Passing Juice |
| Next Steps | Interno | Passing Juice |
| Migration Guide | Interno | Passing Juice |
| Migrating from v4.x to v5.x | Interno | Passing Juice |
| Migration for model.encode | Interno | Passing Juice |
| Migration for Asym to Router | Interno | Passing Juice |
| Migration of advanced usage | Interno | Passing Juice |
| Migrating from v3.x to v4.x | Interno | Passing Juice |
| Migration for CrossEncoder evaluators | Interno | Passing Juice |
| Migrating from v2.x to v3.x | Interno | Passing Juice |
| Usage | Interno | Passing Juice |
| Computing Embeddings | Interno | Passing Juice |
| Initializing a Sentence Transformer Model | Interno | Passing Juice |
| Calculating Embeddings | Interno | Passing Juice |
| Prompt Templates | Interno | Passing Juice |
| Input Sequence Length | Interno | Passing Juice |
| Multi-Process / Multi-GPU Encoding | Interno | Passing Juice |
| Semantic Textual Similarity | Interno | Passing Juice |
| Similarity Calculation | Interno | Passing Juice |
| Semantic Search | Interno | Passing Juice |
| Background | Interno | Passing Juice |
| Symmetric vs. Asymmetric Semantic Search | Interno | Passing Juice |
| Manual Implementation | Interno | Passing Juice |
| Optimized Implementation | Interno | Passing Juice |
| Speed Optimization | Interno | Passing Juice |
| Elasticsearch | Interno | Passing Juice |
| OpenSearch | Interno | Passing Juice |
| Approximate Nearest Neighbor | Interno | Passing Juice |
| Retrieve & Re-Rank | Interno | Passing Juice |
| Examples | Interno | Passing Juice |
| Retrieve & Re-Rank | Interno | Passing Juice |
| Retrieve & Re-Rank Pipeline | Interno | Passing Juice |
| Retrieval: Bi-Encoder | Interno | Passing Juice |
| Re-Ranker: Cross-Encoder | Interno | Passing Juice |
| Example Scripts | Interno | Passing Juice |
| Pre-trained Bi-Encoders (Retrieval) | Interno | Passing Juice |
| Pre-trained Cross-Encoders (Re-Ranker) | Interno | Passing Juice |
| Clustering | Interno | Passing Juice |
| k-Means | Interno | Passing Juice |
| Agglomerative Clustering | Interno | Passing Juice |
| Fast Clustering | Interno | Passing Juice |
| Topic Modeling | Interno | Passing Juice |
| Paraphrase Mining | Interno | Passing Juice |
| Translated Sentence Mining | Interno | Passing Juice |
| Margin Based Mining | Interno | Passing Juice |
| Examples | Interno | Passing Juice |
| Image Search | Interno | Passing Juice |
| Installation | Interno | Passing Juice |
| Usage | Interno | Passing Juice |
| Examples | Interno | Passing Juice |
| Embedding Quantization | Interno | Passing Juice |
| Binary Quantization | Interno | Passing Juice |
| Scalar (int8) Quantization | Interno | Passing Juice |
| Additional extensions | Interno | Passing Juice |
| Demo | Interno | Passing Juice |
| Try it yourself | Interno | Passing Juice |
| Creating Custom Models | Interno | Passing Juice |
| Structure of Sentence Transformer Models | Interno | Passing Juice |
| Sentence Transformer Model from a Transformers Model | Interno | Passing Juice |
| Advanced: Custom Modules | Interno | Passing Juice |
| Evaluation with MTEB | Interno | Passing Juice |
| Installation | Interno | Passing Juice |
| Evaluation | Interno | Passing Juice |
| Additional Arguments | Interno | Passing Juice |
| Results Handling | Interno | Passing Juice |
| Leaderboard Submission | Interno | Passing Juice |
| Speeding up Inference | Interno | Passing Juice |
| PyTorch | Interno | Passing Juice |
| ONNX | Interno | Passing Juice |
| OpenVINO | Interno | Passing Juice |
| Benchmarks | Interno | Passing Juice |
| Pretrained Models | Interno | Passing Juice |
| Original Models | Interno | Passing Juice |
| Semantic Search Models | Interno | Passing Juice |
| Multi-QA Models | Interno | Passing Juice |
| MSMARCO Passage Models | Interno | Passing Juice |
| Multilingual Models | Interno | Passing Juice |
| Semantic Similarity Models | Interno | Passing Juice |
| Bitext Mining | Interno | Passing Juice |
| Image & Text-Models | Interno | Passing Juice |
| INSTRUCTOR models | Interno | Passing Juice |
| Scientific Similarity Models | Interno | Passing Juice |
| Training Overview | Interno | Passing Juice |
| Why Finetune? | Interno | Passing Juice |
| Training Components | Interno | Passing Juice |
| Model | Interno | Passing Juice |
| Dataset | Interno | Passing Juice |
| Dataset Format | Interno | Passing Juice |
| Loss Function | Interno | Passing Juice |
| Training Arguments | Interno | Passing Juice |
| Evaluator | Interno | Passing Juice |
| Trainer | Interno | Passing Juice |
| Callbacks | Interno | Passing Juice |
| Multi-Dataset Training | Interno | Passing Juice |
| Deprecated Training | Interno | Passing Juice |
| Best Base Embedding Models | Interno | Passing Juice |
| Comparisons with CrossEncoder Training | Interno | Passing Juice |
| Dataset Overview | Interno | Passing Juice |
| Datasets on the Hugging Face Hub | Interno | Passing Juice |
| Pre-existing Datasets | Interno | Passing Juice |
| Loss Overview | Interno | Passing Juice |
| Loss Table | Interno | Passing Juice |
| Loss modifiers | Interno | Passing Juice |
| Distillation | Interno | Passing Juice |
| Commonly used Loss Functions | Interno | Passing Juice |
| Custom Loss Functions | Interno | Passing Juice |
| Training Examples | Interno | Passing Juice |
| Semantic Textual Similarity | Interno | Passing Juice |
| Training data | Interno | Passing Juice |
| Loss Function | Interno | Passing Juice |
| Natural Language Inference | Interno | Passing Juice |
| Data | Interno | Passing Juice |
| SoftmaxLoss | Interno | Passing Juice |
| MultipleNegativesRankingLoss | Interno | Passing Juice |
| Paraphrase Data | Interno | Passing Juice |
| Pre-Trained Models | Interno | Passing Juice |
| Quora Duplicate Questions | Interno | Passing Juice |
| Training | Interno | Passing Juice |
| MultipleNegativesRankingLoss | Interno | Passing Juice |
| Pretrained Models | Interno | Passing Juice |
| MS MARCO | Interno | Passing Juice |
| Bi-Encoder | Interno | Passing Juice |
| Matryoshka Embeddings | Interno | Passing Juice |
| Use Cases | Interno | Passing Juice |
| Results | Interno | Passing Juice |
| Training | Interno | Passing Juice |
| Inference | Interno | Passing Juice |
| Code Examples | Interno | Passing Juice |
| Adaptive Layers | Interno | Passing Juice |
| Use Cases | Interno | Passing Juice |
| Results | Interno | Passing Juice |
| Training | Interno | Passing Juice |
| Inference | Interno | Passing Juice |
| Code Examples | Interno | Passing Juice |
| Multilingual Models | Interno | Passing Juice |
| Extend your own models | Interno | Passing Juice |
| Training | Interno | Passing Juice |
| Datasets | Interno | Passing Juice |
| Sources for Training Data | Interno | Passing Juice |
| Evaluation | Interno | Passing Juice |
| Available Pre-trained Models | Interno | Passing Juice |
| Usage | Interno | Passing Juice |
| Performance | Interno | Passing Juice |
| Citation | Interno | Passing Juice |
| Model Distillation | Interno | Passing Juice |
| Knowledge Distillation | Interno | Passing Juice |
| Speed - Performance Trade-Off | Interno | Passing Juice |
| Dimensionality Reduction | Interno | Passing Juice |
| Quantization | Interno | Passing Juice |
| Augmented SBERT | Interno | Passing Juice |
| Motivation | Interno | Passing Juice |
| Extend to your own datasets | Interno | Passing Juice |
| Methodology | Interno | Passing Juice |
| Scenario 1: Limited or small annotated datasets (few labeled sentence-pairs) | Interno | Passing Juice |
| Scenario 2: No annotated datasets (Only unlabeled sentence-pairs) | Interno | Passing Juice |
| Training | Interno | Passing Juice |
| Citation | Interno | Passing Juice |
| Training with Prompts | Interno | Passing Juice |
| What are Prompts? | Interno | Passing Juice |
| Why would we train with Prompts? | Interno | Passing Juice |
| How do we train with Prompts? | Interno | Passing Juice |
| Training with PEFT Adapters | Interno | Passing Juice |
| Compatibility Methods | Interno | Passing Juice |
| Adding a New Adapter | Interno | Passing Juice |
| Loading a Pretrained Adapter | Interno | Passing Juice |
| Training Script | Interno | Passing Juice |
| Unsupervised Learning | Interno | Passing Juice |
| TSDAE | Interno | Passing Juice |
| SimCSE | Interno | Passing Juice |
| CT | Interno | Passing Juice |
| CT (In-Batch Negative Sampling) | Interno | Passing Juice |
| Masked Language Model (MLM) | Interno | Passing Juice |
| GenQ | Interno | Passing Juice |
| GPL | Interno | Passing Juice |
| Performance Comparison | Interno | Passing Juice |
| Domain Adaptation | Interno | Passing Juice |
| Domain Adaptation vs. Unsupervised Learning | Interno | Passing Juice |
| Adaptive Pre-Training | Interno | Passing Juice |
| GPL: Generative Pseudo-Labeling | Interno | Passing Juice |
| Hyperparameter Optimization | Interno | Passing Juice |
| HPO Components | Interno | Passing Juice |
| Putting It All Together | Interno | Passing Juice |
| Example Scripts | Interno | Passing Juice |
| Distributed Training | Interno | Passing Juice |
| Comparison | Interno | Passing Juice |
| FSDP | Interno | Passing Juice |
| Usage | Interno | Passing Juice |
| Cross-Encoder vs Bi-Encoder | Interno | Passing Juice |
| Cross-Encoder vs. Bi-Encoder | Interno | Passing Juice |
| When to use Cross- / Bi-Encoders? | Interno | Passing Juice |
| Cross-Encoders Usage | Interno | Passing Juice |
| Combining Bi- and Cross-Encoders | Interno | Passing Juice |
| Training Cross-Encoders | Interno | Passing Juice |
| Speeding up Inference | Interno | Passing Juice |
| PyTorch | Interno | Passing Juice |
| ONNX | Interno | Passing Juice |
| OpenVINO | Interno | Passing Juice |
| Benchmarks | Interno | Passing Juice |
| Pretrained Models | Interno | Passing Juice |
| MS MARCO | Interno | Passing Juice |
| SQuAD (QNLI) | Interno | Passing Juice |
| STSbenchmark | Interno | Passing Juice |
| Quora Duplicate Questions | Interno | Passing Juice |
| NLI | Interno | Passing Juice |
| Community Models | Interno | Passing Juice |
| Training Overview | Interno | Passing Juice |
| Why Finetune? | Interno | Passing Juice |
| Training Components | Interno | Passing Juice |
| Model | Interno | Passing Juice |
| Dataset | Interno | Passing Juice |
| Dataset Format | Interno | Passing Juice |
| Hard Negatives Mining | Interno | Passing Juice |
| Loss Function | Interno | Passing Juice |
| Training Arguments | Interno | Passing Juice |
| Evaluator | Interno | Passing Juice |
| Trainer | Interno | Passing Juice |
| Callbacks | Interno | Passing Juice |
| Multi-Dataset Training | Interno | Passing Juice |
| Training Tips | Interno | Passing Juice |
| Deprecated Training | Interno | Passing Juice |
| Comparisons with SentenceTransformer Training | Interno | Passing Juice |
| Loss Overview | Interno | Passing Juice |
| Loss Table | Interno | Passing Juice |
| Distillation | Interno | Passing Juice |
| Commonly used Loss Functions | Interno | Passing Juice |
| Custom Loss Functions | Interno | Passing Juice |
| Training Examples | Interno | Passing Juice |
| Semantic Textual Similarity | Interno | Passing Juice |
| Training data | Interno | Passing Juice |
| Loss Function | Interno | Passing Juice |
| Inference | Interno | Passing Juice |
| Natural Language Inference | Interno | Passing Juice |
| Data | Interno | Passing Juice |
| CrossEntropyLoss | Interno | Passing Juice |
| Inference | Interno | Passing Juice |
| Quora Duplicate Questions | Interno | Passing Juice |
| Training | Interno | Passing Juice |
| Inference | Interno | Passing Juice |
| MS MARCO | Interno | Passing Juice |
| Cross Encoder | Interno | Passing Juice |
| Training Scripts | Interno | Passing Juice |
| Inference | Interno | Passing Juice |
| Rerankers | Interno | Passing Juice |
| BinaryCrossEntropyLoss | Interno | Passing Juice |
| CachedMultipleNegativesRankingLoss | Interno | Passing Juice |
| Inference | Interno | Passing Juice |
| Model Distillation | Interno | Passing Juice |
| Cross Encoder Knowledge Distillation | Interno | Passing Juice |
| Inference | Interno | Passing Juice |
| Usage | Interno | Passing Juice |
| Computing Sparse Embeddings | Interno | Passing Juice |
| Initializing a Sparse Encoder Model | Interno | Passing Juice |
| Calculating Embeddings | Interno | Passing Juice |
| Input Sequence Length | Interno | Passing Juice |
| Controlling Sparsity | Interno | Passing Juice |
| Interpretability with SPLADE Models | Interno | Passing Juice |
| Multi-Process / Multi-GPU Encoding | Interno | Passing Juice |
| Semantic Textual Similarity | Interno | Passing Juice |
| Similarity Calculation | Interno | Passing Juice |
| Semantic Search | Interno | Passing Juice |
| Manual Search | Interno | Passing Juice |
| Vector Database Search | Interno | Passing Juice |
| Qdrant Integration | Interno | Passing Juice |
| OpenSearch Integration | Interno | Passing Juice |
| Elasticsearch Integration | Interno | Passing Juice |
| Seismic Integration | Interno | Passing Juice |
| SPLADE-index Integration | Interno | Passing Juice |
| Retrieve & Re-Rank | Interno | Passing Juice |
| Overview | Interno | Passing Juice |
| Interactive Demo: Simple Wikipedia Search | Interno | Passing Juice |
| Comprehensive Evaluation: Hybrid Search Pipeline | Interno | Passing Juice |
| Pre-trained Models | Interno | Passing Juice |
| Sparse Encoder Evaluation | Interno | Passing Juice |
| Example with Retrieval Evaluation: | Interno | Passing Juice |
| Speeding up Inference | Interno | Passing Juice |
| PyTorch | Interno | Passing Juice |
| ONNX | Interno | Passing Juice |
| OpenVINO | Interno | Passing Juice |
| Benchmarks | Interno | Passing Juice |
| Pretrained Models | Interno | Passing Juice |
| Core SPLADE Models | Interno | Passing Juice |
| Inference-Free SPLADE Models | Interno | Passing Juice |
| Model Collections | Interno | Passing Juice |
| Training Overview | Interno | Passing Juice |
| Why Finetune? | Interno | Passing Juice |
| Training Components | Interno | Passing Juice |
| Model | Interno | Passing Juice |
| Dataset | Interno | Passing Juice |
| Dataset Format | Interno | Passing Juice |
| Loss Function | Interno | Passing Juice |
| Training Arguments | Interno | Passing Juice |
| Evaluator | Interno | Passing Juice |
| Trainer | Interno | Passing Juice |
| Callbacks | Interno | Passing Juice |
| Multi-Dataset Training | Interno | Passing Juice |
| Training Tips | Interno | Passing Juice |
| Loss Overview | Interno | Passing Juice |
| Sparse specific Loss Functions | Interno | Passing Juice |
| SPLADE Loss | Interno | Passing Juice |
| CSR Loss | Interno | Passing Juice |
| Loss Table | Interno | Passing Juice |
| Distillation | Interno | Passing Juice |
| Commonly used Loss Functions | Interno | Passing Juice |
| Custom Loss Functions | Interno | Passing Juice |
| Training Examples | Interno | Passing Juice |
| Model Distillation | Interno | Passing Juice |
| MarginMSE | Interno | Passing Juice |
| MS MARCO | Interno | Passing Juice |
| SparseMultipleNegativesRankingLoss | Interno | Passing Juice |
| Semantic Textual Similarity | Interno | Passing Juice |
| Training data | Interno | Passing Juice |
| Loss Function | Interno | Passing Juice |
| Natural Language Inference | Interno | Passing Juice |
| Data | Interno | Passing Juice |
| SpladeLoss | Interno | Passing Juice |
| Quora Duplicate Questions | Interno | Passing Juice |
| Training | Interno | Passing Juice |
| Information Retrieval | Interno | Passing Juice |
| SparseMultipleNegativesRankingLoss (MNRL) | Interno | Passing Juice |
| Inference & Evaluation | Interno | Passing Juice |
| Sentence Transformer | Interno | Passing Juice |
| SentenceTransformer | Interno | Passing Juice |
| SentenceTransformer | Interno | Passing Juice |
| SentenceTransformerModelCardData | Interno | Passing Juice |
| SimilarityFunction | Interno | Passing Juice |
| Trainer | Interno | Passing Juice |
| SentenceTransformerTrainer | Interno | Passing Juice |
| Training Arguments | Interno | Passing Juice |
| SentenceTransformerTrainingArguments | Interno | Passing Juice |
| Losses | Interno | Passing Juice |
| BatchAllTripletLoss | Interno | Passing Juice |
| BatchHardSoftMarginTripletLoss | Interno | Passing Juice |
| BatchHardTripletLoss | Interno | Passing Juice |
| BatchSemiHardTripletLoss | Interno | Passing Juice |
| ContrastiveLoss | Interno | Passing Juice |
| OnlineContrastiveLoss | Interno | Passing Juice |
| ContrastiveTensionLoss | Interno | Passing Juice |
| ContrastiveTensionLossInBatchNegatives | Interno | Passing Juice |
| CoSENTLoss | Interno | Passing Juice |
| AnglELoss | Interno | Passing Juice |
| CosineSimilarityLoss | Interno | Passing Juice |
| DenoisingAutoEncoderLoss | Interno | Passing Juice |
| GISTEmbedLoss | Interno | Passing Juice |
| CachedGISTEmbedLoss | Interno | Passing Juice |
| MSELoss | Interno | Passing Juice |
| MarginMSELoss | Interno | Passing Juice |
| MatryoshkaLoss | Interno | Passing Juice |
| Matryoshka2dLoss | Interno | Passing Juice |
| AdaptiveLayerLoss | Interno | Passing Juice |
| MegaBatchMarginLoss | Interno | Passing Juice |
| MultipleNegativesRankingLoss | Interno | Passing Juice |
| CachedMultipleNegativesRankingLoss | Interno | Passing Juice |
| MultipleNegativesSymmetricRankingLoss | Interno | Passing Juice |
| CachedMultipleNegativesSymmetricRankingLoss | Interno | Passing Juice |
| SoftmaxLoss | Interno | Passing Juice |
| TripletLoss | Interno | Passing Juice |
| DistillKLDivLoss | Interno | Passing Juice |
| Samplers | Interno | Passing Juice |
| BatchSamplers | Interno | Passing Juice |
| MultiDatasetBatchSamplers | Interno | Passing Juice |
| Evaluation | Interno | Passing Juice |
| BinaryClassificationEvaluator | Interno | Passing Juice |
| EmbeddingSimilarityEvaluator | Interno | Passing Juice |
| InformationRetrievalEvaluator | Interno | Passing Juice |
| NanoBEIREvaluator | Interno | Passing Juice |
| MSEEvaluator | Interno | Passing Juice |
| ParaphraseMiningEvaluator | Interno | Passing Juice |
| RerankingEvaluator | Interno | Passing Juice |
| SentenceEvaluator | Interno | Passing Juice |
| SequentialEvaluator | Interno | Passing Juice |
| TranslationEvaluator | Interno | Passing Juice |
| TripletEvaluator | Interno | Passing Juice |
| Datasets | Interno | Passing Juice |
| ParallelSentencesDataset | Interno | Passing Juice |
| SentenceLabelDataset | Interno | Passing Juice |
| DenoisingAutoEncoderDataset | Interno | Passing Juice |
| NoDuplicatesDataLoader | Interno | Passing Juice |
| Modules | Interno | Passing Juice |
| Main Modules | Interno | Passing Juice |
| Further Modules | Interno | Passing Juice |
| Base Modules | Interno | Passing Juice |
| quantization | Interno | Passing Juice |
| Cross Encoder | Interno | Passing Juice |
| CrossEncoder | Interno | Passing Juice |
| CrossEncoder | Interno | Passing Juice |
| CrossEncoderModelCardData | Interno | Passing Juice |
| Trainer | Interno | Passing Juice |
| CrossEncoderTrainer | Interno | Passing Juice |
| Training Arguments | Interno | Passing Juice |
| CrossEncoderTrainingArguments | Interno | Passing Juice |
| Losses | Interno | Passing Juice |
| BinaryCrossEntropyLoss | Interno | Passing Juice |
| CrossEntropyLoss | Interno | Passing Juice |
| LambdaLoss | Interno | Passing Juice |
| ListMLELoss | Interno | Passing Juice |
| PListMLELoss | Interno | Passing Juice |
| ListNetLoss | Interno | Passing Juice |
| MultipleNegativesRankingLoss | Interno | Passing Juice |
| CachedMultipleNegativesRankingLoss | Interno | Passing Juice |
| MSELoss | Interno | Passing Juice |
| MarginMSELoss | Interno | Passing Juice |
| RankNetLoss | Interno | Passing Juice |
| Evaluation | Interno | Passing Juice |
| CrossEncoderRerankingEvaluator | Interno | Passing Juice |
| CrossEncoderNanoBEIREvaluator | Interno | Passing Juice |
| CrossEncoderClassificationEvaluator | Interno | Passing Juice |
| CrossEncoderCorrelationEvaluator | Interno | Passing Juice |
| Sparse Encoder | Interno | Passing Juice |
| SparseEncoder | Interno | Passing Juice |
| SparseEncoder | Interno | Passing Juice |
| SparseEncoderModelCardData | Interno | Passing Juice |
| SimilarityFunction | Interno | Passing Juice |
| Trainer | Interno | Passing Juice |
| SparseEncoderTrainer | Interno | Passing Juice |
| Training Arguments | Interno | Passing Juice |
| SparseEncoderTrainingArguments | Interno | Passing Juice |
| Losses | Interno | Passing Juice |
| SpladeLoss | Interno | Passing Juice |
| FlopsLoss | Interno | Passing Juice |
| CSRLoss | Interno | Passing Juice |
| CSRReconstructionLoss | Interno | Passing Juice |
| SparseMultipleNegativesRankingLoss | Interno | Passing Juice |
| SparseMarginMSELoss | Interno | Passing Juice |
| SparseDistillKLDivLoss | Interno | Passing Juice |
| SparseTripletLoss | Interno | Passing Juice |
| SparseCosineSimilarityLoss | Interno | Passing Juice |
| SparseCoSENTLoss | Interno | Passing Juice |
| SparseAnglELoss | Interno | Passing Juice |
| SparseMSELoss | Interno | Passing Juice |
| Evaluation | Interno | Passing Juice |
| SparseInformationRetrievalEvaluator | Interno | Passing Juice |
| SparseNanoBEIREvaluator | Interno | Passing Juice |
| SparseEmbeddingSimilarityEvaluator | Interno | Passing Juice |
| SparseBinaryClassificationEvaluator | Interno | Passing Juice |
| SparseTripletEvaluator | Interno | Passing Juice |
| SparseRerankingEvaluator | Interno | Passing Juice |
| SparseTranslationEvaluator | Interno | Passing Juice |
| SparseMSEEvaluator | Interno | Passing Juice |
| ReciprocalRankFusionEvaluator | Interno | Passing Juice |
| Modules | Interno | Passing Juice |
| SPLADE Pooling | Interno | Passing Juice |
| MLM Transformer | Interno | Passing Juice |
| SparseAutoEncoder | Interno | Passing Juice |
| SparseStaticEmbedding | Interno | Passing Juice |
| Callbacks | Interno | Passing Juice |
| SpladeRegularizerWeightSchedulerCallback | Interno | Passing Juice |
| Search Engines | Interno | Passing Juice |
| util | Interno | Passing Juice |
| Helper Functions | Interno | Passing Juice |
| Model Optimization | Interno | Passing Juice |
| Sentence Transformers | Interno | Passing Juice |
| Edit on GitHub | Externo | Passing Juice |
| v5.2 | Externo | Passing Juice |
| v5.2.1 | Externo | Passing Juice |
| v5.2.2 | Externo | Passing Juice |
| v5.2.3 | Externo | Passing Juice |
| UKP Lab | Externo | Passing Juice |
| 🤗 Hugging Face | Externo | Passing Juice |
| full announcement | Externo | Passing Juice |
| | Interno | Passing Juice |
| 10,000 pre-trained Sentence Transformers models | Externo | Passing Juice |
| Massive Text Embeddings Benchmark (MTEB) leaderboard | Externo | Passing Juice |
| Sentence Transformers repository | Externo | Passing Juice |
| | Interno | Passing Juice |
| | Interno | Passing Juice |
| | Interno | Passing Juice |
| Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks | Externo | Passing Juice |
| Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation | Externo | Passing Juice |
| data augmentation | Externo | Passing Juice |
| Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks | Externo | Passing Juice |
| Sphinx | Externo | Passing Juice |
| theme | Externo | Passing Juice |
| Read the Docs | Externo | Passing Juice |
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