Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

wi-lab
/
lwm-v1.1

Feature Extraction
Transformers
PyTorch
wireless-communication
few-shot-learning
limited-data
Model card Files Files and versions
xet
Community
3

Instructions to use wi-lab/lwm-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wi-lab/lwm-v1.1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="wi-lab/lwm-v1.1")
    # Load model directly
    from transformers import LWM-v1.1
    model = LWM-v1.1.from_pretrained("wi-lab/lwm-v1.1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
lwm-v1.1
15 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 57 commits
wi-lab's picture
wi-lab
Update README.md
1b68512 verified over 1 year ago
  • images
    Upload los_perf.png over 1 year ago
  • models
    Upload the pre-trained model and pre-training, inference, downstream, and utility scripts over 1 year ago
  • .gitattributes
    1.57 kB
    Upload los_perf.png over 1 year ago
  • .gitignore
    20 Bytes
    Update .gitignore over 1 year ago
  • README.md
    49 kB
    Update README.md over 1 year ago
  • config.json
    113 Bytes
    Upload config.json over 1 year ago
  • downstream.py
    5.61 kB
    Upload downstream.py over 1 year ago
  • inference.py
    1.98 kB
    Update inference.py over 1 year ago
  • input_preprocess.py
    32.9 kB
    Upload input_preprocess.py over 1 year ago
  • lwm_model.py
    5.72 kB
    Upload the pre-trained model and pre-training, inference, downstream, and utility scripts over 1 year ago
  • main.py
    3.49 kB
    Upload the pre-trained model and pre-training, inference, downstream, and utility scripts over 1 year ago
  • train.py
    17.2 kB
    Update train.py over 1 year ago
  • utils.py
    10 kB
    Upload the pre-trained model and pre-training, inference, downstream, and utility scripts over 1 year ago