How to use sentence-transformers/distiluse-base-multilingual-cased with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/distiluse-base-multilingual-cased") 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]
https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased/resolve/main/tokenizer.json
hf download hf://sentence-transformers/distiluse-base-multilingual-cased/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased/resolve/main/tokenizer.json
