Sentence Similarity
sentence-transformers
ONNX
Safetensors
Indonesian
feature-extraction
indonesian
embedding
quantized
Eval Results (legacy)
Instructions to use asmud/indonesian-embedding-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use asmud/indonesian-embedding-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("asmud/indonesian-embedding-small") 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