Sentence Similarity
sentence-transformers
Safetensors
Vietnamese
English
xlm-roberta
feature-extraction
Generated from Trainer
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use contextboxai/halong_embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use contextboxai/halong_embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("contextboxai/halong_embedding") sentences = [ "Bóng đá có lợi ích gì cho sức khỏe?", "Bóng đá giúp cải thiện sức khỏe tim mạch và tăng cường sức bền.", "Bóng đá là môn thể thao phổ biến nhất thế giới.", "Bóng đá có thể giúp bạn kết nối với nhiều người hơn." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
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