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augustinian-babylm
/
deberta-base-100k-sam

Fill-Mask
Transformers
Safetensors
English
deberta-v2
babylm
deberta-v3
masked-lm
visual-grounding
data-efficient-pretraining
vision-init-sam
Model card Files Files and versions
xet
Community

Instructions to use augustinian-babylm/deberta-base-100k-sam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use augustinian-babylm/deberta-base-100k-sam with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="augustinian-babylm/deberta-base-100k-sam")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("augustinian-babylm/deberta-base-100k-sam")
    model = AutoModelForMaskedLM.from_pretrained("augustinian-babylm/deberta-base-100k-sam", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-base-100k-sam
659 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
bylin's picture
bylin
Model card: VP-Swap claims after pair-level re-analysis
4b22992 verified 24 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    3.41 kB
    Model card: VP-Swap claims after pair-level re-analysis 24 days ago
  • checkpoint_map.json
    3.88 kB
    submission branch mapping (chck_NM -> stepN) 3 months ago
  • config.json
    988 Bytes
    final model 4 months ago
  • model.safetensors
    652 MB
    xet
    final model 4 months ago
  • tokenizer.json
    7.25 MB
    final model 4 months ago
  • tokenizer_config.json
    319 Bytes
    final model 4 months ago
  • training_args.bin
    5.2 kB
    xet
    final model 4 months ago