Model: magnifi/optimized-semcache-embeds-en-final
Author: magnifi
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1954, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:1705.00652, base_model:BAAI/bge-small-en-v1.5, base_model:finetune:BAAI/bge-small-en-v1.5, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: BAAI/bge-small-en-v1.5
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:1954, loss:MultipleNegativesRankingLoss
base_model: BAAI/bge-small-en-v1.5
widget: source_sentence: how much will my portfolio return 
sentences: get_portfolio(None,True,None): portfolio, get_expected_attribute('portfolio',['returns']): portfolio, sort('portfolio','returns','asc'): portfolio, get_portfolio(None,True,None): portfolio, get_expected_attribute('portfolio',['returns']): portfolio, sort('portfolio','returns','desc'): portfolio, news_data, source_sentence: What does the latest consumer sentiment survey mean for my investments
sentences: get_portfolio(None,True,None): portfolio, stress_test('portfolio','consumer_sentiment',None,'up'): stress_test, get_portfolio(['type'],True,None): portfolio, filter('portfolio','type','==','MF'): portfolio, get_attribute('portfolio',['gains'],'<DATES>'): portfolio, filter('portfolio','gains','>','0'): portfolio, sort('portfolio','gains','desc'): portfolio, get_portfolio(None,True,None): portfolio, stress_test('portfolio','consumer_sentiment',None,None): stress_test, source_sentence: Which of my holdings have the highest expected risk
sentences: get_portfolio(None,True,None): portfolio, get_expected_attribute('portfolio',['volatility']): portfolio, sort('portfolio','volatility','desc'): portfolio, get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','asset_class','<AN_ASSET_TYPE>','portfolio'): portfolio, get_portfolio(None,True,None): portfolio, get_expected_attribute('portfolio',['volatility']): portfolio, sort('portfolio','volatility','asc'): portfolio, source_sentence: how is [TICKER] allocated by region
sentences: news_data, <TICKER>_data, get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','region',None,'portfolio'): portfolio, source_sentence: what sectors are contributing the most to my performance [DATES]
sentences: get_portfolio(None,True,None): portfolio, get_attribute('portfolio',['losses'],'<DATES>'): portfolio, filter('portfolio','losses','<','0'): portfolio, sort('portfolio','losses','asc'): portfolio, get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','sector',None,'returns'): portfolio, get_portfolio(None,True,None): portfolio, factor_contribution('portfolio','<DATES>','sector',None,'portfolio'): portfolio
pipeline_tag: sentence-similarity
library_name: sentence-transformers
Likes: 0 | All-time downloads: 100
Created: 2025-05-16 11:25:02