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JonasGeiping
/
crammed-bert-legacy

Fill-Mask
Transformers
PyTorch
English
crammedBERT
cramming
bert
NLU
Model card Files Files and versions
xet
Community
1

Instructions to use JonasGeiping/crammed-bert-legacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JonasGeiping/crammed-bert-legacy with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="JonasGeiping/crammed-bert-legacy")
    # Load model directly
    from transformers import AutoModelForPreTraining
    model = AutoModelForPreTraining.from_pretrained("JonasGeiping/crammed-bert-legacy", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
crammed-bert-legacy
482 MB
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  • 1 contributor
History: 12 commits
JonasGeiping's picture
JonasGeiping
Update README.md
285bab3 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    5.93 kB
    Update README.md almost 3 years ago
  • arch_budget_hours_24.json
    1.65 kB
    Upload arch_budget_hours_24.json with huggingface_hub over 3 years ago
  • config.json
    1.77 kB
    Upload ScriptableLMForPreTraining over 3 years ago
  • data_budget_hours_24.json
    981 Bytes
    Upload data_budget_hours_24.json with huggingface_hub over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    481 MB
    xet
    Upload ScriptableLMForPreTraining over 3 years ago
  • special_tokens_map.json
    170 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    762 kB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    534 Bytes
    Upload tokenizer over 3 years ago
  • train_budget_hours_24.json
    895 Bytes
    Upload train_budget_hours_24.json with huggingface_hub over 3 years ago