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blckrvrfx
/
edge-multimodal-embeddings

Feature Extraction
Transformers
ONNX
multimodal
embeddings
edge
quantization
clip
text-embedding
image-embedding
video-embedding
audio-embedding
mobile
arm64
int8
Model card Files Files and versions
xet
Community

Instructions to use blckrvrfx/edge-multimodal-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use blckrvrfx/edge-multimodal-embeddings with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="blckrvrfx/edge-multimodal-embeddings")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("blckrvrfx/edge-multimodal-embeddings", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
edge-multimodal-embeddings / edge_multimodal_embeddings
39.6 kB
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  • 1 contributor
History: 24 commits
blckrvrfx's picture
blckrvrfx
Upload edge_multimodal_embeddings/utils/__init__.py with huggingface_hub
0d9b280 verified 5 months ago
  • core
    Upload edge_multimodal_embeddings/core/projections.py with huggingface_hub 5 months ago
  • exporters
    Upload edge_multimodal_embeddings/exporters/openvino_exporter.py with huggingface_hub 5 months ago
  • processors
    Upload edge_multimodal_embeddings/processors/video.py with huggingface_hub 5 months ago
  • utils
    Upload edge_multimodal_embeddings/utils/__init__.py with huggingface_hub 5 months ago
  • __init__.py
    258 Bytes
    Upload edge_multimodal_embeddings/__init__.py with huggingface_hub 5 months ago
  • cli.py
    1.56 kB
    Upload edge_multimodal_embeddings/cli.py with huggingface_hub 5 months ago
  • runtime.py
    4.48 kB
    Upload edge_multimodal_embeddings/runtime.py with huggingface_hub 5 months ago