How to use multi-vector-encoder-testing/bert-tiny-multi-vector with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("multi-vector-encoder-testing/bert-tiny-multi-vector") 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/multi-vector-encoder-testing/bert-tiny-multi-vector/resolve/a0b72caeb2efb21c0450e6615b90f38f2877d1ea/tokenizer.json
hf download hf://multi-vector-encoder-testing/bert-tiny-multi-vector@a0b72caeb2efb21c0450e6615b90f38f2877d1ea/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/multi-vector-encoder-testing/bert-tiny-multi-vector/resolve/a0b72caeb2efb21c0450e6615b90f38f2877d1ea/tokenizer.json
