sentence-transformers
Safetensors
Indonesian
Arabic
English
bert
multilingual
indonesian
arabic
tokenizer-pruning
continual-pretraining
embedding-pruning
vocabulary-reduction
masked-language-modeling
Instructions to use Ik45/fihris-embeddding-id-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Ik45/fihris-embeddding-id-ar with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Ik45/fihris-embeddding-id-ar") 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