Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:333
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use WealthFromAI/empire-embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use WealthFromAI/empire-embed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("WealthFromAI/empire-embed") sentences = [ "brain scan", "Full WordPress Site Health Audit. Check plugins — installed, active, and update status command Verify SEO configuration command Test page speed with Lighthouse command Security check — WordFence scan and login protection check Test REST API connectivity and credentials command Check Google Search Console for crawl errors and ranking prompt. Tags: wordpress, audit, seo, security, performance, plugins, health", "Bulk Article Creation for a Site. Research topics and identify content gaps command Generate content outlines and briefs command Write content using ZimmWriter or scripts prompt Generate featured images for all articles command Publish articles and set featured images command. Tags: content, articles, bulk, wordpress, seo, publishing, zimmwriter", "Run EMPIRE-BRAIN Scan and Intelligence Cycle. Run full empire brain scan command Generate intelligence briefing command Check brain stats and performance metrics command Run evolution cycle command Verify Sentinel service monitoring status command. Tags: empire, brain, scan, intelligence, monitoring, evolution, briefing" ] 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!