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scairesearch
/
bertbm-300m

Fill-Mask
Transformers
Safetensors
bertbm
modernbert
masked-lm
neural-operator
fourier-neural-operator
graph-neural-network
geometric-deep-learning
riemannian
event-driven
custom_code
Model card Files Files and versions
xet
Community

Instructions to use scairesearch/bertbm-300m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use scairesearch/bertbm-300m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="scairesearch/bertbm-300m", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("scairesearch/bertbm-300m", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bertbm-300m / tokenizer
3.58 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
scaiNiranjan's picture
scaiNiranjan
Upload tokenizer/tokenizer_config.json with huggingface_hub
7c186ce verified 12 days ago
  • special_tokens_map.json
    694 Bytes
    Add BertBM 300M model (v17, BPE tokenizer, PPL 1.65) 12 days ago
  • tokenizer.json
    3.58 MB
    Add BertBM 300M model (v17, BPE tokenizer, PPL 1.65) 12 days ago
  • tokenizer_config.json
    380 Bytes
    Upload tokenizer/tokenizer_config.json with huggingface_hub 12 days ago