Sentence Similarity
sentence-transformers
Safetensors
roberta
feature-extraction
Generated from Trainer
dataset_size:63
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
Instructions to use zxcvo/phone-search-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use zxcvo/phone-search-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("zxcvo/phone-search-model") sentences = [ "Samsung Galaxy S22 Ultra", "Điện thoại camera 108MP", "Điện thoại RAM 12GB", "Điện thoại có zoom quang học 10x" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!