Sentence Similarity
sentence-transformers
Safetensors
English
nomic_bert
feature-extraction
Generated from Trainer
dataset_size:357
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use tsss1/expressvpn_embeddingmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use tsss1/expressvpn_embeddingmodel with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tsss1/expressvpn_embeddingmodel", trust_remote_code=True) sentences = [ "Last updated: September 4, 2024\n\nThis guide will show you how to use the split tunneling feature on the ExpressVPN apps for Windows and Mac.\n\nImportant: The split tunneling feature is not available on macOS 11 and above. Follow this guide to find out which version of macOS you are using.\nNote: Split tunneling is also not currently available on the ExpressVPN app for Windows 11 on ARM64.", "How to use Kodi with ExpressVPN on iOS", "How to use the split tunneling feature", "What’s new in ExpressVPN for Linux?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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