How to use hiiamsid/sentence_similarity_spanish_es with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("hiiamsid/sentence_similarity_spanish_es") sentences = [ "Esa es una persona feliz", "Ese es un perro feliz", "Esa es una persona muy feliz", "Hoy es un día soleado" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use hiiamsid/sentence_similarity_spanish_es with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hiiamsid/sentence_similarity_spanish_es") model = AutoModel.from_pretrained("hiiamsid/sentence_similarity_spanish_es", device_map="auto")
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