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thebajajra
/
RexBERT-base

Fill-Mask
Transformers
PyTorch
Safetensors
English
modernbert
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pretraining
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foundation-model
Model card Files Files and versions
xet
Community
4

Instructions to use thebajajra/RexBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thebajajra/RexBERT-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="thebajajra/RexBERT-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("thebajajra/RexBERT-base")
    model = AutoModelForMaskedLM.from_pretrained("thebajajra/RexBERT-base")
  • Notebooks
  • Google Colab
  • Kaggle
RexBERT-base
1.2 GB
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  • 2 contributors
History: 22 commits
thebajajra's picture
thebajajra
Update README.md
55bd1c5 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    10.1 kB
    Update README.md 3 months ago
  • config.json
    1.19 kB
    Upload folder using huggingface_hub 9 months ago
  • model.safetensors
    599 MB
    xet
    Adding `safetensors` variant of this model (#4) 8 months ago
  • pytorch_model.bin
    599 MB
    xet
    Upload folder using huggingface_hub 9 months ago
  • special_tokens_map.json
    693 Bytes
    Upload folder using huggingface_hub 9 months ago
  • tokenizer.json
    3.58 MB
    Upload folder using huggingface_hub 9 months ago
  • tokenizer_config.json
    20.8 kB
    Upload folder using huggingface_hub 9 months ago