How to use J0nasW/sciembed-full with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("J0nasW/sciembed-full") 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/J0nasW/sciembed-full/resolve/main/sentence_bert_config.json
hf download hf://J0nasW/sciembed-full/sentence_bert_config.json
curl -L -o sentence_bert_config.json https://huggingface.co/J0nasW/sciembed-full/resolve/main/sentence_bert_config.json
