How to use nvidia/Nemotron-3-Embed-8B-BF16 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nvidia/Nemotron-3-Embed-8B-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-8B-BF16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nvidia/Nemotron-3-Embed-8B-BF16") model = AutoModel.from_pretrained("nvidia/Nemotron-3-Embed-8B-BF16", device_map="auto")
Guys would be perfect if you can tell me whether nvfp4 for 8b is planned already or not yet ? Would be nice if its from Nvidia.
@ybabakhin Please look into this 😄
Hi @TheChola ! Thanks for the interest in the model. However, we don't have immediate plans to release NVFP4 version of the 8B model.
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