How to use bi-matrix/gmatrix-embedding1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("bi-matrix/gmatrix-embedding1") 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]
How to use bi-matrix/gmatrix-embedding1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bi-matrix/gmatrix-embedding1") model = AutoModel.from_pretrained("bi-matrix/gmatrix-embedding1", device_map="auto")
