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tzervas
/
bwsk-bert-base

Fill-Mask
Transformers
Safetensors
bwsk
combinator-analysis
transformer
reversible-backprop
convergence-training
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use tzervas/bwsk-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tzervas/bwsk-bert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="tzervas/bwsk-bert-base")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("tzervas/bwsk-bert-base", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bwsk-bert-base / scratch-conventional
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
tzervas's picture
tzervas
Add scratch-conventional training results
5719993 verified 3 months ago
  • config.json
    751 Bytes
    Add scratch-conventional model weights 3 months ago
  • model.safetensors
    438 MB
    xet
    Add scratch-conventional model weights 3 months ago
  • tokenizer.json
    711 kB
    Add scratch-conventional model weights 3 months ago
  • tokenizer_config.json
    322 Bytes
    Add scratch-conventional model weights 3 months ago
  • training_results.json
    33 kB
    Add scratch-conventional training results 3 months ago