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telsayed
/
test

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Rust
Core ML
Safetensors
English
bert
exbert
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use telsayed/test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="telsayed/test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("telsayed/test")
    model = AutoModelForMaskedLM.from_pretrained("telsayed/test", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
test / coreml /fill-mask /float32_model.mlpackage /Data /com.apple.CoreML
532 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
Tamer Elsayed
uploading
9f8846e about 3 years ago
  • weights
    uploading about 3 years ago
  • model.mlmodel
    165 kB
    xet
    uploading about 3 years ago