How to use Jasaxion/LexSemBridge_CLR_snowflake with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Jasaxion/LexSemBridge_CLR_snowflake") 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/Jasaxion/LexSemBridge_CLR_snowflake/resolve/main/sentence_bert_config.json
hf download hf://Jasaxion/LexSemBridge_CLR_snowflake/sentence_bert_config.json
curl -L -o sentence_bert_config.json https://huggingface.co/Jasaxion/LexSemBridge_CLR_snowflake/resolve/main/sentence_bert_config.json
