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nanovdr
/
NanoVDR-D-HiRes-Qwen3VL8B-4096

Feature Extraction
sentence-transformers
Safetensors
Transformers
nanovdr_doc
visual-document-retrieval
document-ai
nanovdr
knowledge-distillation
retrieval
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use nanovdr/NanoVDR-D-HiRes-Qwen3VL8B-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use nanovdr/NanoVDR-D-HiRes-Qwen3VL8B-4096 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("nanovdr/NanoVDR-D-HiRes-Qwen3VL8B-4096", 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]
  • Transformers

    How to use nanovdr/NanoVDR-D-HiRes-Qwen3VL8B-4096 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="nanovdr/NanoVDR-D-HiRes-Qwen3VL8B-4096", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nanovdr/NanoVDR-D-HiRes-Qwen3VL8B-4096", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
NanoVDR-D-HiRes-Qwen3VL8B-4096
1.83 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
Ryenhails's picture
Ryenhails
Cite arXiv:2608.10636
4a4d897 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    10.1 kB
    Cite arXiv:2608.10636 about 2 months ago
  • config.json
    644 Bytes
    NanoVDR-D-HiRes: 457M document tower distilled from Qwen3-VL-Embedding-8B about 2 months ago
  • config_sentence_transformers.json
    134 Bytes
    Ship the tiling image processor; load as a SentenceTransformer too about 2 months ago
  • model.safetensors
    1.83 GB
    xet
    NanoVDR-D-HiRes: 457M document tower distilled from Qwen3-VL-Embedding-8B about 2 months ago
  • modeling_nanovdr_doc.py
    10.7 kB
    Ship the tiling image processor; load as a SentenceTransformer too about 2 months ago
  • modules.json
    114 Bytes
    Ship the tiling image processor; load as a SentenceTransformer too about 2 months ago
  • preprocessor_config.json
    747 Bytes
    Ship the tiling image processor; load as a SentenceTransformer too about 2 months ago
  • processing_nanovdr_doc.py
    12.3 kB
    Ship the tiling image processor; load as a SentenceTransformer too about 2 months ago
  • sentence_bert_config.json
    209 Bytes
    Ship the tiling image processor; load as a SentenceTransformer too about 2 months ago