sentence-transformers How to use borntobeignored/qwen3-embedding-4b_lora with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("borntobeignored/qwen3-embedding-4b_lora")
sentences = [
"Company: Goldman Sachs | Year: 2017 | Question: What was the percentage change in the average daily Value-at-Risk (VaR) for interest rates from 2016 to 2017 for Goldman Sachs?",
"a reconciliation of the beginning and ending amount of unrecognized tax benefits , for the periods indicated , is as follows: .\n| ( dollars in thousands ) | 2010 | 2009 | 2008 |\n| --- | --- | --- | --- |\n| balance at january 1 | $ 29010 | $ 34366 | $ 29132 |\n| additions based on tax positions related to the current year | 7119 | 6997 | 5234 |\n| additions for tax positions of prior years | - | - | - |\n| reductions for tax positions of prior years | - | - | - |\n| settlements with taxing authorities | -12356 ( 12356 ) | -12353 ( 12353 ) | - |\n| lapses of applicable statutes of limitations | - | - | - |\n| balance at december 31 | $ 23773 | $ 29010 | $ 34366 |\nthe entire amount of the unrecognized tax benefits would affect the effective tax rate if recognized . in 2010 , the company favorably settled a 2003 and 2004 irs audit . the company recorded a net overall tax benefit including accrued interest of $ 25920 thousand . in addition , the company was also able to take down a $ 12356 thousand fin 48 reserve that had been established regarding the 2003 and 2004 irs audit . the company is no longer subject to u.s . federal , state and local or foreign income tax examinations by tax authorities for years before 2007 . the company recognizes accrued interest related to net unrecognized tax benefits and penalties in income taxes . during the years ended december 31 , 2010 , 2009 and 2008 , the company accrued and recognized a net expense ( benefit ) of approximately $ ( 9938 ) thousand , $ 1563 thousand and $ 2446 thousand , respectively , in interest and penalties . included within the 2010 net expense ( benefit ) of $ ( 9938 ) thousand is $ ( 10591 ) thousand of accrued interest related to the 2003 and 2004 irs audit . the company is not aware of any positions for which it is reasonably possible that the total amounts of unrecognized tax benefits will significantly increase or decrease within twelve months of the reporting date . for u.s . income tax purposes the company has foreign tax credit carryforwards of $ 55026 thousand that begin to expire in 2014 . in addition , for u.s . income tax purposes the company has $ 41693 thousand of alternative minimum tax credits that do not expire . management believes that it is more likely than not that the company will realize the benefits of its net deferred tax assets and , accordingly , no valuation allowance has been recorded for the periods presented . tax benefits of $ 629 thousand and $ 1714 thousand related to share-based compensation deductions for stock options exercised in 2010 and 2009 , respectively , are included within additional paid-in capital of the shareholders 2019 equity section of the consolidated balance sheets. .",
"from those currently anticipated and expressed in such forward-looking statements as a result of a number of factors , including those we discuss under 201crisk factors 201d and elsewhere in this form 10-k . you should read 201crisk factors 201d and 201cforward-looking statements . 201d executive overview general american water works company , inc . ( herein referred to as 201camerican water 201d or the 201ccompany 201d ) is the largest investor-owned united states water and wastewater utility company , as measured both by operating revenues and population served . our approximately 6400 employees provide drinking water , wastewater and other water related services to an estimated 15 million people in 47 states and in one canadian province . our primary business involves the ownership of water and wastewater utilities that provide water and wastewater services to residential , commercial , industrial and other customers . our regulated businesses that provide these services are generally subject to economic regulation by state regulatory agencies in the states in which they operate . the federal government and the states also regulate environmental , health and safety and water quality matters . our regulated businesses provide services in 16 states and serve approximately 3.2 million customers based on the number of active service connections to our water and wastewater networks . we report the results of these businesses in our regulated businesses segment . we also provide services that are not subject to economic regulation by state regulatory agencies . we report the results of these businesses in our market-based operations segment . in 2014 , we continued the execution of our strategic goals . our commitment to growth through investment in our regulated infrastructure and expansion of our regulated customer base and our market-based operations , combined with operational excellence led to continued improvement in regulated operating efficiency , improved performance of our market-based operations , and enabled us to provide increased value to our customers and investors . during the year , we focused on growth , addressed regulatory lag , made more efficient use of capital and improved our regulated operation and maintenance ( 201co&m 201d ) efficiency ratio . 2014 financial results for the year ended december 31 , 2014 , we continued to increase net income , while making significant capital investment in our infrastructure and implementing operational efficiency improvements to keep customer rates affordable . highlights of our 2014 operating results compared to 2013 and 2012 include: .\n| | 2014 | 2013 | 2012 |\n| --- | --- | --- | --- |\n| income from continuing operations | $ 2.39 | $ 2.07 | $ 2.10 |\n| income ( loss ) from discontinued operations net of tax | $ -0.04 ( 0.04 ) | $ -0.01 ( 0.01 ) | $ -0.09 ( 0.09 ) |\n| diluted earnings per share | $ 2.35 | $ 2.06 | $ 2.01 |\ncontinuing operations income from continuing operations included 4 cents per diluted share of costs resulting from the freedom industries chemical spill in west virginia in 2014 and included 14 cents per diluted share in 2013 related to a tender offer . earnings from continuing operations , adjusted for these two items , increased 10% ( 10 % ) , or 22 cents per share , mainly due to favorable operating results from our regulated businesses segment due to higher revenues and lower operating expenses , partially offset by higher depreciation expenses . also contributing to the overall increase in income from continuing operations was lower interest expense in 2014 compared to the same period in 2013. .",
"the goldman sachs group , inc . and subsidiaries management 2019s discussion and analysis the risk committee of the board and the risk governance committee ( through delegated authority from the firmwide risk committee ) approve market risk limits and sub-limits at firmwide , business and product levels , consistent with our risk appetite statement . in addition , market risk management ( through delegated authority from the risk governance committee ) sets market risk limits and sub-limits at certain product and desk levels . the purpose of the firmwide limits is to assist senior management in controlling our overall risk profile . sub-limits are set below the approved level of risk limits . sub-limits set the desired maximum amount of exposure that may be managed by any particular business on a day-to-day basis without additional levels of senior management approval , effectively leaving day-to-day decisions to individual desk managers and traders . accordingly , sub-limits are a management tool designed to ensure appropriate escalation rather than to establish maximum risk tolerance . sub-limits also distribute risk among various businesses in a manner that is consistent with their level of activity and client demand , taking into account the relative performance of each area . our market risk limits are monitored daily by market risk management , which is responsible for identifying and escalating , on a timely basis , instances where limits have been exceeded . when a risk limit has been exceeded ( e.g. , due to positional changes or changes in market conditions , such as increased volatilities or changes in correlations ) , it is escalated to senior managers in market risk management and/or the appropriate risk committee . such instances are remediated by an inventory reduction and/or a temporary or permanent increase to the risk limit . model review and validation our var and stress testing models are regularly reviewed by market risk management and enhanced in order to incorporate changes in the composition of positions included in our market risk measures , as well as variations in market conditions . prior to implementing significant changes to our assumptions and/or models , model risk management performs model validations . significant changes to our var and stress testing models are reviewed with our chief risk officer and chief financial officer , and approved by the firmwide risk committee . see 201cmodel risk management 201d for further information about the review and validation of these models . systems we have made a significant investment in technology to monitor market risk including : 2030 an independent calculation of var and stress measures ; 2030 risk measures calculated at individual position levels ; 2030 attribution of risk measures to individual risk factors of each position ; 2030 the ability to report many different views of the risk measures ( e.g. , by desk , business , product type or entity ) ; 2030 the ability to produce ad hoc analyses in a timely manner . metrics we analyze var at the firmwide level and a variety of more detailed levels , including by risk category , business , and region . the tables below present average daily var and period-end var , as well as the high and low var for the period . diversification effect in the tables below represents the difference between total var and the sum of the vars for the four risk categories . this effect arises because the four market risk categories are not perfectly correlated . the table below presents average daily var by risk category. .\n| $ in millions | year ended december 2017 | year ended december 2016 | year ended december 2015 |\n| --- | --- | --- | --- |\n| interest rates | $ 40 | $ 45 | $ 47 |\n| equity prices | 24 | 25 | 26 |\n| currency rates | 12 | 21 | 30 |\n| commodity prices | 13 | 17 | 20 |\n| diversification effect | -35 ( 35 ) | -45 ( 45 ) | -47 ( 47 ) |\n| total | $ 54 | $ 63 | $ 76 |\nour average daily var decreased to $ 54 million in 2017 from $ 63 million in 2016 , due to reductions across all risk categories , partially offset by a decrease in the diversification effect . the overall decrease was primarily due to lower levels of volatility . our average daily var decreased to $ 63 million in 2016 from $ 76 million in 2015 , due to reductions across all risk categories , partially offset by a decrease in the diversification effect . the overall decrease was primarily due to reduced exposures . goldman sachs 2017 form 10-k 91 ."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] Unsloth Studio How to use borntobeignored/qwen3-embedding-4b_lora with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for borntobeignored/qwen3-embedding-4b_lora to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for borntobeignored/qwen3-embedding-4b_lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for borntobeignored/qwen3-embedding-4b_lora to start chatting
Load model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="borntobeignored/qwen3-embedding-4b_lora",
max_seq_length=2048,
) 
