sentence-transformers How to use fjavigv/snoweu_v4 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("fjavigv/snoweu_v4")
sentences = [
"What are the chemical names and corresponding identifiers for octabromo derivate and 2-Methoxyethanol, including their CAS numbers and EC numbers?",
"octabromo derivate 602-094-00-4 251-087-9 32536-52-0 2-Methoxyethanol; ethylene glycol monomethyl ether; methylglycol 603-011-00-4 203-713-7 109-86-4 2-Ethoxyethanol; ethylene glycol monoethyl ether; ethylglycol 603-012-00-X 203-804-1 110-80-5 [▼M61](./../../../legal-content/EN/AUTO/?uri=celex:32020R2096 \"32020R2096: INSERTED\") Ethylene oxide; oxirane 603-023-00-X 200-849-9 75-21-8 [▼C1](./../../../legal-content/EN/AUTO/?uri=celex:32006R1907R%2801%29 \"32006R1907R(01): REPLACED\") 1,2-Dimethoxyethane ethylene glycol dimethyl ether EGDME 603-031-00-3 203-794-9 110-71-4 [▼M45](./../../../legal-content/EN/AUTO/?uri=celex:32017R1510 \"32017R1510: INSERTED\") Tetrahydro-2-furyl-methanol; tetrahydrofurfuryl alcohol 603-061-00-7 202-625-6 97-99-4",
"hydrocarbons produced as the residual fraction from the distillation of heavy coker gas oil and vacuum gas oil. It predominantly consists of hydrocarbons having carbon numbers predominantly greater than C13 and boiling above approximately 230 °C.) 649-026-00-X 270-796-4 68478-17-1 Residues (petroleum), heavy coker and light vacuum; Heavy fuel oil (A complex combination of hydrocarbons produced as the residual fraction from the distillation of heavy coker gas oil and light vacuum gas oil. It consists predominantly of hydrocarbons having carbon numbers predominantly greater than C13 and boiling above approximately 230 °C.) 649-027-00-5 270-983-0 68512-61-8 Residues (petroleum), light vacuum; Heavy fuel oil (A complex residuum from the vacuum distillation of the residuum from the atmospheric distillation of crude oil. It consists of hydrocarbons having carbon numbers predominantly greater than C13 and boiling above approximately 230 °C.) 649-028-00-0 270-984-6 68512-62-9 Residues (petroleum), steam-cracked light; Heavy fuel oil (A complex residuum from the distillation of the products from a steam-cracking process. It consists predominantly of aromatic and unsaturated hydrocarbons having carbon numbers greater than C7 and boiling in the range of approximately 101 to 555 °C.) 649-029-00-6 271-013-9 68513-69-9 Fuel oil, No 6; Heavy fuel oil (A distillate oil having a minimum viscosity of 197 10-6 m2s-1 at 37,7 °C to a maximum of 197 10-5 m2s-1 at 37,7 °C.) 649-030-00-1 271-384-7 68553-00-4 Residues (petroleum), topping plant, low-sulfur; Heavy fuel oil (A low-sulfur complex combination of hydrocarbons produced as the residual fraction from the topping plant distillation of crude oil. It is the residuum after the straight-run gasoline cut, kerosene cut and gas oil cut have been removed.) 649-031-00-7 271-763-7 68607-30-7 Gas oils (petroleum), heavy atmospheric; Heavy fuel oil (A complex combination of hydrocarbons obtained by the distillation of crude oil. It consists of hydrocarbons having carbon numbers predominantly in the range of C7 through C35 and boiling in the range of approximately 121 to 510 °C.) 649-032-00-2 272-184-2 68783-08-4 Residues (petroleum), coker scrubber, Condensed-ring-arom.-contg.; Heavy fuel",
"(e)\n\nwhere applicable, how the undertaking assesses the effectiveness of its engagement with its own workforce, including, where relevant, any agreements or outcomes that result.\n\nWhere applicable, the undertaking shall disclose the steps it takes to gain insight into the perspectives of people in its own workforce who may be particularly vulnerable to impacts and/or marginalised (for example, women, migrants, people with disabilities).\n\nIf the undertaking cannot disclose the above required information because it has not adopted a general process to engage with its own workforce , it shall disclose this to be the case. It may disclose a timeframe in which it aims to have such a process in place."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
