Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:4641
loss:CosineSimilarityLoss
text-embeddings-inference
Instructions to use sreehari267/er_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sreehari267/er_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sreehari267/er_model") sentences = [ "ashok boiler se", "apollo hospital enterprise lt", "ashok khasziwala co", "ashok boiler ltd" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K