How to use Bheri/e5large-en-sa-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Bheri/e5large-en-sa-v1") sentences = [ "Wherever and whenever they saw any creature, any dweller of the Khandava, escaping from the fire, those two great heroes immediately shot it down.", "वयं पठाम ।", "दि अमोङ्ग- अस् कुक्कुटस्य खण्डः पैरेडोलिया इत्यस्य उदाहरणम् अस्ति।\n", "यत्र यत्र च दृश्यन्ते प्राणिनः खाण्डवालयाः। पलायन्तः प्रवीरौ तौ तत्र तत्राभ्यधावताम्॥" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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