sentence-transformers How to use ar9av/tsdae-civic-bert with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("ar9av/tsdae-civic-bert")
sentences = [
". the land and management meeting of 5th is 7:01 the order Um, is roll . we have us, Nicole, and, . Uh, the is the of of October, . Do have,, are there any, All right,, all favor approving your that is Um to participation Is would like see Miss> hear>> Yes,>>,>, so I'm sorry uh echoing? we . We hear little echo, but we you . Uh f first all, record, Diane Uh",
"All right. Good evening and welcome to\nthe land use and building management\ncommittee meeting of November 5th, 2025. It is 7:01 and I am calling the meeting\nto order. Um, first item is roll call. Tonight we have with us council members\nJim Fyer, Nicole Edy, Nicole Ays, and\nmyself, Barbara Smith. Uh, next item on the agenda is the\nacceptance of the minutes of our meeting\nof October 1, 2025. Do I have a motion,\nMiss Edy, um, are there any corrections,\nAll right, seeing none, all in favor of\napproving the minutes, please raise your\nOkay, that is unanimous. Um, moving on to public participation. Is there anyone\nhere who would like to speak? I see Miss\n>> Yes, good. Can you hear me? >> Yes, we can. >> Yes, we can. >> I am in a hallway, so I'm sorry for any\nuh echoing. I hope it's Can you still\nunderstand me? >> Yes, we can. We hear a little echo, but\nwe can still hear you. Uh anyway, f first of all, good evening. For the record, my name is Diane\nLaurisella. Uh",
"I'll now call to order the November 6, 2025 meeting of Mayor and Council. I'm going to call on the Mayor Pro Tem Andy Gibbs to lead us in prayer. Please remain standing for the pledge. Body heads, please. Dear me, Father, just thank you for this evening. Thank you for bringing us all together. Lord, I just ask you that as we look at the different things on our agenda tonight, that you help us to make the best decision for our community to move to move our community forward. Lord, I just ask you, Lord, to continue to put your arms around us for protection. To put your arms around us, your protection. I thank you, Lord, for sending your son to die on the cross for our sins, Lord. I thank you for the things that you've given us in our life, the mercy of the grace that you've extended to us each and every day to allow us to be able to wake up and walk among other people and help us to serve others as you want us to serve, Lord. And I thank you for everything you do for us. Your name, I pra",
"In the NOSERT room today, the link can be found on the Town of Orleans website. And calling the meeting to order. Any agenda changes? None this evening, this afternoon, sorry. Is there anyone for citizens speak? No one additional online. Okay, seeing none, we're going to go into priority business and we are going to start with our assistant superintendent. Wonderful. Thank you very much. Thank you. So I'm here today to share two things, our homeschooling process and then just an update on our grant. We can't hear you. Yeah. So sorry to enter. I was just going to interrupt. Just make sure that you pull this mic up and for everybody. Is this better? Okay, Parker. Sorry about that. Sorry. So I'm here today. Thank you for that. Just to talk about our homeschooling process and our grant process as well. So I'll go over our homeschooling process. I know of detailed information in the memo and I've included some links to our forms so you'll be able to see it and I'll just give a high-level ov"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
