Sentence Similarity
sentence-transformers
Safetensors
Danish
feature-extraction
dense
Generated from Trainer
dataset_size:94067
loss:MultipleNegativesRankingLoss
Instructions to use kardosdrur/handsker-retrieval-300d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use kardosdrur/handsker-retrieval-300d with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("kardosdrur/handsker-retrieval-300d") sentences = [ "Batteri hold", " Retrieve customer reviews mentioning a specific feature of a product.", "Telefonen er simpelthen fantastisk. Den er hurtig, kameraet tager fantastiske billeder, og batteriet holder hele dagen, selv med intensivt brug. Jeg er utrolig glad for mit køb.", "Jeg er meget imponeret over designet på denne telefon. Den er tynd og let, og farven er virkelig smuk. Skærmen er også flot og skarp." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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