Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:110773
loss:ContrastiveLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use yahyaabd/allstats-search-miniLM-v1-7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use yahyaabd/allstats-search-miniLM-v1-7 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yahyaabd/allstats-search-miniLM-v1-7") sentences = [ "average monthly net wage/salary, employees, by province and occupation (rupiah), 2018", "[Seri 2000] Laju Pertumbuhan PDB Triwulanan Atas Dasar Harga Konstan 2000 Terhadap Triwulan Sebelumnya, 2001-2014", "IHK dan Rata-rata Upah per Bulan Buruh Industri di Bawah Mandor (Supervisor), 2012-2014 (2012=100)", "Rata-rata Upah/Gaji Bersih Sebulan Buruh/Karyawan/Pegawai Menurut Kelompok Umur dan Lapangan Pekerjaan Utama di 9 Sektor (Rupiah), 2017" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle