Sentence Similarity
sentence-transformers
Safetensors
English
mpnet
feature-extraction
dataset_size:100K<n<1M
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use rajistics/mpnet-base-all-nli-triplet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rajistics/mpnet-base-all-nli-triplet with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rajistics/mpnet-base-all-nli-triplet") sentences = [ "No animals.", "It doesn't get it.", "The person is sleeping.", "the man is at home sleeping" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K