Sentence Similarity
sentence-transformers
OpenVINO
roberta
feature-extraction
Generated from Trainer
dataset_size:72338
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use richie-ghost/sbert_facebook_large_mnli_openVino2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use richie-ghost/sbert_facebook_large_mnli_openVino2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("richie-ghost/sbert_facebook_large_mnli_openVino2") sentences = [ "Do I need to know HTML & CSS to learn javascript?", "What Would the Piano Chords to \"Winter, You Tease\" by Layla be?", "Men playing a sport outside.", "How do I learn web development as quickly as possible?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K