Instructions to use Culture-and-Morality-Lab/psyembedding-gte-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Culture-and-Morality-Lab/psyembedding-gte-large with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("Culture-and-Morality-Lab/psyembedding-gte-large")

sentences = [
"\" My cousin said he share hoes with his brothers. He said sharing is caring and he love his brothers &#128514;\"",
"Clerical Error Led to Costa Rica's First Legal Gay Marriage",
"UPDATE: The leasing office is going to tape notes on ALL tenants doors in our building as to not single anyone out. However, we were not the first to complain. Our maintenance guy also caught them smoking in the breezeway of our building and told them to cut it out. Hopefully the note helps, if not, I don't care enough to make it a bigger issue and I'm only here for the next 8 months so smoke em if you got em I guess.\n\nAlright bare/bear with me here...\n\nMy husband and I live in a pretty decent apartment complex, we're on the top floor, and we are cool with most of our neighbors. We're 90% sure about which neighbor is smoking the devils lettuce, as it only really started when our next-door neighbors new roommate moved in.\n\nI have nothing against smoking, in any capacity, but it's literally all our apartment has smelled like the last few months. It's starting to permeate our clothes and furniture it's so bad. My husband and I both work for the government (and are drug tested) so this is not ideal. At first (before we realized what was actually going on) we thought a skunk had sprayed near our apartment and was just coming in through a window. Well, it's winter now, no windows are open, and every day we wake up to and come home to SKUNK. We have told the apartment complex about this, and nothing has changed.\n\nWIBTA if I left a note on this neighbors door? Something to the effect of \"Hey fellow apartment dwellers, pot is fun. However, consider blowing the smoke out into a paper towel roll that has a dryer sheet at the end. Or vape it. Or eat it. My entire apartment smells like skunky pot and I'm over it. Love, your neighbors\"\n\nThoughts?\n\nEdit: When we messaged the complex about it, we didn't single out them or their apartment, just said \"someone in our building.\" They actually have since responded saying that they'd \"send a message to our building about it,\" so we'll see what happens! I'll hold off on the note/talking to them in person for now, but if it continues I'm definitely considering buying two smoke buddies and wrapping them up nicely in Christmas paper with a little (not aggressive) card.\n\nEdit 2: Enough people are asking so I wanted to clarify, **I do not live in a state where it is legal.**",
"And just as Kamala Harris is dedicated to building an America for all peoples, so too am I.\n\nThat is why the idea that freedom of religion somehow comes primary is so offensive to the very idea of an America for all.\n\nSome religions will cite their bigotry as having a basis in scripture. That will apply to bigotry hitting the LDS community as well.\n\nAccording to Christian doctrine, [the LDS church is fundamentally heretical](\n\nWithout discrimination protections, a catholic, muslim, jewish or christian business can discriminate against the members of the LDS church without recourse.\n\nThat is why the protection of anti-discrimination measures must inevitably step on the toes of religious bigotry. Religion is cited to justify bigotry. Just as it was by the LDS church."
]
embeddings = model.encode(sentences)

similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4]

Notebooks
Google Colab
Kaggle

Culture-and-Morality-Lab commited on 8 days ago

Commit

7aaf5f7

verified ·

1 Parent(s): 154d88d

Set real model ID in README usage snippet

Browse files

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README.md +1 -1

README.md CHANGED Viewed

@@ -249,7 +249,7 @@ Then you can load this model and run inference.
 from sentence_transformers import SentenceTransformer
 # Download from the 🤗 Hub
-model = SentenceTransformer("sentence_transformers_model_id")
 # Run inference
 sentences = [
     'Besides that which the men brought him that were over the tributes, and the merchants, and they that sold by retail, and all the kings of Arabia, and the governors of the country.',

 from sentence_transformers import SentenceTransformer
 # Download from the 🤗 Hub
+model = SentenceTransformer("Culture-and-Morality-Lab/psyembedding-gte-large")
 # Run inference
 sentences = [
     'Besides that which the men brought him that were over the tributes, and the merchants, and they that sold by retail, and all the kings of Arabia, and the governors of the country.',