How to use AAUBS/PatentSBERTa_V2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AAUBS/PatentSBERTa_V2") sentences = [ "A method for wireless charging using magnetic resonance", "Wireless power transfer through inductive coupling", "A new compound for pharmaceutical use in treating diabetes", "A method for data encryption in wireless communication" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use AAUBS/PatentSBERTa_V2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AAUBS/PatentSBERTa_V2") model = AutoModel.from_pretrained("AAUBS/PatentSBERTa_V2")
