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SAVSNET
/
PetBERT

Fill-Mask
Transformers
PyTorch
Safetensors
English
bert
biology
medical
veterinary
clinical
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use SAVSNET/PetBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="SAVSNET/PetBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("SAVSNET/PetBERT")
    model = AutoModelForMaskedLM.from_pretrained("SAVSNET/PetBERT")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

TemporalMesh Transformer: 29.4 PPL at 48% compute — beats Mamba, new open-source architecture

#3 opened 4 days ago by
vigneshwar234

Adding `safetensors` variant of this model

#1 opened over 1 year ago by
SFconvertbot
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