Duplicated from Alibaba-NLP/gte-multilingual-base
How to use yankexe/gte-multilingual-base-air-gapped with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yankexe/gte-multilingual-base-air-gapped", trust_remote_code=True) 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 yankexe/gte-multilingual-base-air-gapped with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yankexe/gte-multilingual-base-air-gapped", trust_remote_code=True, dtype="auto")
