How to use iamtatsuki05/Sentence-Sarashina-Bi-0.5B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("iamtatsuki05/Sentence-Sarashina-Bi-0.5B", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
How to use iamtatsuki05/Sentence-Sarashina-Bi-0.5B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("iamtatsuki05/Sentence-Sarashina-Bi-0.5B", trust_remote_code=True) model = AutoModel.from_pretrained("iamtatsuki05/Sentence-Sarashina-Bi-0.5B", trust_remote_code=True, device_map="auto")
