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interlive
/
ReFoCUS-2.7B

Video Classification
Transformers
Safetensors
English
refocus
video-understanding
frame-selection
long-video
reinforcement-learning
policy-gradient
mamba
multimodal
plug-and-play
Model card Files Files and versions
xet
Community

Instructions to use interlive/ReFoCUS-2.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use interlive/ReFoCUS-2.7B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="interlive/ReFoCUS-2.7B")
    # Load model directly
    from transformers import RefocusForFrameSelection
    model = RefocusForFrameSelection.from_pretrained("interlive/ReFoCUS-2.7B", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    4.35 kB
    Release ReFoCUS-2.7B 2 days ago
  • config.json
    2.09 kB
    Release ReFoCUS-2.7B 2 days ago
  • model-00001-of-00002.safetensors
    4.98 GB
    xet
    Release ReFoCUS-2.7B 2 days ago
  • model-00002-of-00002.safetensors
    1.54 GB
    xet
    Release ReFoCUS-2.7B 2 days ago
  • model.safetensors.index.json
    99.8 kB
    Release ReFoCUS-2.7B 2 days ago
  • special_tokens_map.json
    531 Bytes
    Release ReFoCUS-2.7B 2 days ago
  • tokenizer.json
    1.76 MB
    Release ReFoCUS-2.7B 2 days ago
  • tokenizer_config.json
    5.09 kB
    Release ReFoCUS-2.7B 2 days ago
  • trainer_state.json
    263 kB
    Release ReFoCUS-2.7B 2 days ago