How to use nvidia/Nemotron-3-Embed-1B-BF16 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nvidia/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 nvidia/Nemotron-3-Embed-1B-BF16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-3-Embed-1B-BF16") model = AutoModel.from_pretrained("nvidia/Nemotron-3-Embed-1B-BF16", device_map="auto")
I can push it through LLM compressor, but I always trust the official ones better. :D
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