Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
Generated from Trainer
dataset_size:79621
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use yahyaabd/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use yahyaabd/test-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yahyaabd/test-model") sentences = [ "Data demografi Indonesia 2021 perempuan dan lakilaki", "Buletin Statistik Perdagangan Luar Negeri Ekspor Menurut Komoditi HS, Februari 2015", "Statistik Potensi Desa Provinsi Jawa Barat 2014", "Pengeluaran untuk Konsumsi Penduduk Indonesia, September 2017" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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