How to use nanovdr/NanoVDR-Q-BERT-Qwen3VL2B-2048 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nanovdr/NanoVDR-Q-BERT-Qwen3VL2B-2048") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/nanovdr/NanoVDR-Q-BERT-Qwen3VL2B-2048/resolve/main/special_tokens_map.json
hf download hf://nanovdr/NanoVDR-Q-BERT-Qwen3VL2B-2048/special_tokens_map.json
curl -L -o special_tokens_map.json https://huggingface.co/nanovdr/NanoVDR-Q-BERT-Qwen3VL2B-2048/resolve/main/special_tokens_map.json
