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Duplicated from  DAMO-NLP-SG/VL3-SigLIP-NaViT

lb-sage
/
VL3-SigLIP-NaViT

Image Feature Extraction
Transformers
Safetensors
English
videollama3_vision_encoder
feature-extraction
visual-encoder
multi-modal-large-language-model
custom_code
Model card Files Files and versions
xet
Community

Instructions to use lb-sage/VL3-SigLIP-NaViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lb-sage/VL3-SigLIP-NaViT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="lb-sage/VL3-SigLIP-NaViT", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("lb-sage/VL3-SigLIP-NaViT", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
VL3-SigLIP-NaViT
824 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
lb-sage's picture
lb-sage
fix(imports): fixes VideoInput import module for transformers
673a36d unverified 3 months ago
  • .gitattributes
    1.52 kB
    Duplicate from DAMO-NLP-SG/VL3-SigLIP-NaViT 3 months ago
  • README.md
    4.57 kB
    Duplicate from DAMO-NLP-SG/VL3-SigLIP-NaViT 3 months ago
  • config.json
    602 Bytes
    Duplicate from DAMO-NLP-SG/VL3-SigLIP-NaViT 3 months ago
  • configuration_videollama3_encoder.py
    1.76 kB
    Duplicate from DAMO-NLP-SG/VL3-SigLIP-NaViT 3 months ago
  • image_processing_videollama3.py
    22 kB
    fix(imports): fixes VideoInput import module for transformers 3 months ago
  • model.safetensors
    824 MB
    xet
    Duplicate from DAMO-NLP-SG/VL3-SigLIP-NaViT 3 months ago
  • modeling_videollama3_encoder.py
    21.8 kB
    Duplicate from DAMO-NLP-SG/VL3-SigLIP-NaViT 3 months ago
  • preprocessor_config.json
    473 Bytes
    Duplicate from DAMO-NLP-SG/VL3-SigLIP-NaViT 3 months ago