Sentence Similarity
sentence-transformers
Safetensors
Vietnamese
new
feature-extraction
dense
Generated from Trainer
dataset_size:12234
loss:MultipleNegativesRankingLoss
custom_code
text-embeddings-inference
Instructions to use Dqdung205/medical_vietnamese_embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Dqdung205/medical_vietnamese_embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Dqdung205/medical_vietnamese_embedding", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Ctrl+K