Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:9000
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use AlIshaq/SBERT-faq-pondok with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use AlIshaq/SBERT-faq-pondok with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AlIshaq/SBERT-faq-pondok") sentences = [ "Apakah ada ceramah khusus saat Maulid Nabi?", "Belum diadakan ceramah tentang keteladanan Nabi Muhammad SAW.", "Biasanya dana disalurkan melalui potongan langsung biaya bulanan.", "Ya, santri membaca dan mendiskusikan kisah akhlak dari para ulama." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K