How to use cnmoro/micro-bertim-embeddings with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cnmoro/micro-bertim-embeddings") sentences = [ "search_query: i love autotrain", "O pôr do sol pinta o céu com tons de laranja e vermelho", "Joana adora estudar matemática nas tardes de sábado", "Os pássaros voam em formação, criando um espetáculo no horizonte" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
The community tab is the place to discuss and collaborate with the HF community!
