How to use sparse-encoder-testing/inference-free-splade-bert-tiny-nq with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sparse-encoder-testing/inference-free-splade-bert-tiny-nq") 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/sparse-encoder-testing/inference-free-splade-bert-tiny-nq/resolve/refs%2Fpr%2F1/document_1_SpladePooling/config.json
hf download hf://sparse-encoder-testing/inference-free-splade-bert-tiny-nq@refs/pr/1/document_1_SpladePooling/config.json
curl -L -o config.json https://huggingface.co/sparse-encoder-testing/inference-free-splade-bert-tiny-nq/resolve/refs%2Fpr%2F1/document_1_SpladePooling/config.json
