Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:1786
loss:CosineSimilarityLoss
text-embeddings-inference
Instructions to use abdur197/fine-tuned-column-mapper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use abdur197/fine-tuned-column-mapper with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("abdur197/fine-tuned-column-mapper") sentences = [ "jml_perempuan", "kode_odp", "f", "provinsi_kabupaten_kota" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K