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wi-lab
/
lwm

Feature Extraction
Transformers
PyTorch
wireless-communication
few-shot-learning
limited-data
Model card Files Files and versions
xet
Community
7

Instructions to use wi-lab/lwm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wi-lab/lwm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="wi-lab/lwm")
    # Load model directly
    from transformers import LWM
    model = LWM.from_pretrained("wi-lab/lwm", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
lwm / utils
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
wi-lab's picture
wi-lab
Rename utils/beamforming.py to utils/robust_bf.py
3096624 verified about 1 year ago
  • pretraining.py
    7.42 kB
    Update utils/pretraining.py about 1 year ago
  • res1dcnn.py
    11.8 kB
    Update utils/res1dcnn.py about 1 year ago
  • robust_bf.py
    2.7 kB
    Rename utils/beamforming.py to utils/robust_bf.py about 1 year ago