Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:13063
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use mspy/twitter-paraphrase-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use mspy/twitter-paraphrase-embeddings with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mspy/twitter-paraphrase-embeddings") sentences = [ "I cant wait to leave Chicago", "This is the shit Chicago needs to be recognized for not Keef", "is candice singing again tonight", "half time Chelsea were losing 10" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!