Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:257891
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use dostoevskyIdiot/intfloat-e5-large-v2-jaiv-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dostoevskyIdiot/intfloat-e5-large-v2-jaiv-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dostoevskyIdiot/intfloat-e5-large-v2-jaiv-v2") sentences = [ "married woman cheats with a low life creep", "Real Documentary: The Moment When A Divorce Wanting Wife Cheats categorized as Nymphomaniac, Married Woman", "Hot Married Woman Athlete categorized as Mature Woman, Married Woman, Sports", "This Married Woman Was Betrayed By Her Friends And Got Creampie Fucked By A Fucking Low Life Creep Yuko Shiraki categorized as Mature Woman, Married Woman, Cheating Wife" ] 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!