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yzhou992
/
test_model2

Fill-Mask
Transformers
PyTorch
albert
Model card Files Files and versions
xet
Community
1

Instructions to use yzhou992/test_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yzhou992/test_model2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="yzhou992/test_model2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("yzhou992/test_model2")
    model = AutoModelForMaskedLM.from_pretrained("yzhou992/test_model2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
test_model2
68 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
yi zhou
Step loss
66febcd over 4 years ago
  • .DS_Store
    6.15 kB
    commit over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    854 Bytes
    Step loss over 4 years ago
  • pytorch_model.bin
    67.2 MB
    xet
    Step loss over 4 years ago
  • rng_state.pth
    14.5 kB
    xet
    commit over 4 years ago
  • scaler.pt
    559 Bytes
    xet
    commit over 4 years ago
  • scheduler.pt
    431 Bytes
    xet
    commit over 4 years ago
  • special_tokens_map.json
    260 Bytes
    commit over 4 years ago
  • spiece.model
    760 kB
    xet
    commit over 4 years ago
  • tokenizer_config.json
    466 Bytes
    commit over 4 years ago
  • training_args.bin
    2.8 kB
    xet
    commit over 4 years ago