Duplicated from nvidia/Nemotron-3-Embed-1B-BF16
How to use everymemory/Nemotron-3-Embed-1B-BF16 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("everymemory/Nemotron-3-Embed-1B-BF16") 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 everymemory/Nemotron-3-Embed-1B-BF16 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("everymemory/Nemotron-3-Embed-1B-BF16") model = AutoModel.from_pretrained("everymemory/Nemotron-3-Embed-1B-BF16", device_map="auto")
