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MahmoodAnaam
/
radar-encoder-freeze

Text Classification
Transformers
TensorBoard
Safetensors
radar
Generated from Trainer
custom_code
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use MahmoodAnaam/radar-encoder-freeze with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MahmoodAnaam/radar-encoder-freeze with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MahmoodAnaam/radar-encoder-freeze", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("MahmoodAnaam/radar-encoder-freeze", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • config.json
    458 Bytes
    Training in progress, step 500, checkpoint 3 months ago
  • configuration_radar.py
    771 Bytes
    Training in progress, step 500, checkpoint 3 months ago
  • model.safetensors
    1.6 GB
    xet
    Training in progress, step 12000, checkpoint 3 months ago
  • modeling_radar.py
    8.74 kB
    Training in progress, step 500, checkpoint 3 months ago
  • optimizer.pt
    39.5 MB
    xet
    Training in progress, step 12000, checkpoint 3 months ago
  • rng_state.pth
    14.7 kB
    xet
    Training in progress, step 12000, checkpoint 3 months ago
  • scheduler.pt
    1.47 kB
    xet
    Training in progress, step 12000, checkpoint 3 months ago
  • tokenizer.json
    3.58 MB
    Training in progress, step 500, checkpoint 3 months ago
  • tokenizer_config.json
    351 Bytes
    Training in progress, step 500, checkpoint 3 months ago
  • trainer_state.json
    233 kB
    Training in progress, step 12000, checkpoint 3 months ago
  • training_args.bin
    5.33 kB
    xet
    Training in progress, step 500, checkpoint 3 months ago