Feature Extraction
ONNX
sentence-transformers
Indonesian
bert
indonesian
quantized
text-embeddings
Eval Results (legacy)
text-embeddings-inference
Instructions to use asmud/LazarusNLP-indobert-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use asmud/LazarusNLP-indobert-onnx with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("asmud/LazarusNLP-indobert-onnx") 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