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LikC1606
/
chinesebabylm-control-adamw-bert-mlm-9p53m

Fill-Mask
Transformers
Safetensors
Chinese
bert
chinesebabylm
masked-language-modeling
baby-lm
control
adamw
Model card Files Files and versions
xet
Community

Instructions to use LikC1606/chinesebabylm-control-adamw-bert-mlm-9p53m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LikC1606/chinesebabylm-control-adamw-bert-mlm-9p53m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="LikC1606/chinesebabylm-control-adamw-bert-mlm-9p53m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("LikC1606/chinesebabylm-control-adamw-bert-mlm-9p53m")
    model = AutoModelForMaskedLM.from_pretrained("LikC1606/chinesebabylm-control-adamw-bert-mlm-9p53m", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
chinesebabylm-control-adamw-bert-mlm-9p53m
38.2 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
LikC1606's picture
LikC1606
Upload ChineseBabyLM best model artifacts
012c88a verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    1.06 kB
    Upload ChineseBabyLM best model artifacts 4 months ago
  • config.json
    677 Bytes
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  • model.safetensors
    38.1 MB
    xet
    Upload ChineseBabyLM best model artifacts 4 months ago
  • tokenizer.json
    109 kB
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  • tokenizer_config.json
    221 Bytes
    Upload ChineseBabyLM best model artifacts 4 months ago