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vprojectx
/
Lewis-44M-Bert

Fill-Mask
Transformers
Safetensors
English
lewis_44m_bert
bert
encoder
masked-lm
rope
geglu
rmsnorm
pretrained-from-scratch
custom_code
Model card Files Files and versions
xet
Community

Instructions to use vprojectx/Lewis-44M-Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vprojectx/Lewis-44M-Bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="vprojectx/Lewis-44M-Bert", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("vprojectx/Lewis-44M-Bert", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Lewis-44M-Bert
178 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
vprojectx's picture
vprojectx
Update README.md
4a37427 verified about 11 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 11 hours ago
  • README.md
    8.78 kB
    Update README.md about 11 hours ago
  • config.json
    1.14 kB
    Upload folder using huggingface_hub about 11 hours ago
  • configuration_Lewis_44M_Bert.py
    1.89 kB
    Upload folder using huggingface_hub about 11 hours ago
  • model.safetensors
    175 MB
    xet
    Upload folder using huggingface_hub about 11 hours ago
  • modeling_Lewis_44M_Bert.py
    12.1 kB
    Upload folder using huggingface_hub about 11 hours ago
  • tokenizer.json
    2.12 MB
    Upload folder using huggingface_hub about 11 hours ago
  • tokenizer_config.json
    256 Bytes
    Upload folder using huggingface_hub about 11 hours ago