Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:10
loss:CosineSimilarityLoss
text-embeddings-inference
Instructions to use adityasajja6/fine_tuned_mpnet_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use adityasajja6/fine_tuned_mpnet_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("adityasajja6/fine_tuned_mpnet_model") sentences = [ "ml", "data visualization", "neural networks", "machine learning" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K