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Weike1000
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Snack_Embed

Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
dense
Generated from Trainer
dataset_size:1275
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files
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  # SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
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- This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2). 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.
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  ## Model Details
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  # SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
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+ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2). 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. The purpose is to create closer semantic relations with certain snack/food names (ie chips -> potato chips).
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  ## Model Details
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