Sentence Similarity
sentence-transformers
PyTorch
Indonesian
bert
feature-extraction
text-embeddings-inference
Instructions to use denaya/indoSBERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use denaya/indoSBERT-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("denaya/indoSBERT-large") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58e3ddc92dafe7a8a20ad5bb75b4cbfc0dfd5f14548ea40c7159b71326294698
- Size of remote file:
- 1.34 GB
- SHA256:
- 1d5b426c6309899656ae6f922c1b71bf6885423228999eb0e9ba3868b6ce7e2c
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