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Welcome EmbeddingGemma, Google's new efficient embedding model

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By Import Faiss, Sentence TransformerModel CardData, Sentence TransformersTextEmbedder, Query Embedders
| huggingface.co
Loss Function from sentence_transformers.losses import CachedMultipleNegativesRankingLoss loss = CachedMultipleNegativesRankingLoss(model, mini_batch_size=8) This code defines the loss function for training, using . CMNRL is effective for retrieval tasks, as it uses in-batch negatives to efficiently train the model to distinguish between correct and incorrect pairs.
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