Sentence Similarity
sentence-transformers
Safetensors
Vietnamese
xlm-roberta
feature-extraction
dense
Generated from Trainer
dataset_size:6066
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use splendor1811/BGE-mapping-tool with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use splendor1811/BGE-mapping-tool with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("splendor1811/BGE-mapping-tool") sentences = [ "HUYNHDEANHKHOA COMPANY LIMITED", "SHYH JIUH INDUSTRIAL CO.,LTD", "KENG HIN ENGINEERING CO", "CTTNHHTHIETKE MYTHUAT VA TINHOC HUYNHDEANHKHOA" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle