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lfoppiano
/
MatTPUSciBERT

Fill-Mask
Transformers
PyTorch
Safetensors
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use lfoppiano/MatTPUSciBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="lfoppiano/MatTPUSciBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("lfoppiano/MatTPUSciBERT")
    model = AutoModelForMaskedLM.from_pretrained("lfoppiano/MatTPUSciBERT")
  • Notebooks
  • Google Colab
  • Kaggle
MatTPUSciBERT
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  • 2 contributors
History: 10 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
22d9a66 about 3 years ago
  • .gitattributes
    1.68 kB
    Adding `safetensors` variant of this model about 3 years ago
  • .gitignore
    6 Bytes
    cleanup over 3 years ago
  • README.md
    2.95 kB
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  • bert_config.json
    313 Bytes
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  • bert_model.ckpt.data-00000-of-00001
    1.33 GB
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  • bert_model.ckpt.index
    9.39 kB
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  • bert_model.ckpt.meta
    5.16 MB
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  • config.json
    385 Bytes
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  • model.safetensors
    442 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • pytorch_model.bin
    442 MB
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  • tokenizer_config.json
    29 Bytes
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  • vocab.txt
    222 kB
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