SentenceTransformer based on google/embeddinggemma 300m Notice: Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms. This model is a fine tuned derivative of google/embeddinggemma 300m. Use of this model is subject to the Gemma Prohibited Use Policy. This is a sentence transformers model finetuned from google/embeddinggemma 300m on the eti embedding training data 2048 triplets dataset. It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. Model Details Model Description Model Type: Sentence Transformer Base model: google/embeddinggemma 300m Maximum Sequence Length: 2048 tokens Output Dimensionality: 768 dimensions Similarity Function: Cosine Similarity Training Dataset: eti embedding training data 2048 triplets Language: no Model Sources Documentation: Sentence Transformers Documentation Repository: Sentence Transformers on GitHub Hugging Face: Sentence Transformers on Hugging Face Full Model Architecture Usage Direct Usage (Sentence Transformers) First install the Sentence Transformers library:…
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