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nasa-impact
/
bert-e-base-mlm

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

Instructions to use nasa-impact/bert-e-base-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nasa-impact/bert-e-base-mlm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="nasa-impact/bert-e-base-mlm")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("nasa-impact/bert-e-base-mlm")
    model = AutoModelForMaskedLM.from_pretrained("nasa-impact/bert-e-base-mlm")
  • Notebooks
  • Google Colab
  • Kaggle
bert-e-base-mlm
881 MB
Ctrl+K
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  • 4 contributors
History: 9 commits
Muthukumaran's picture
Muthukumaran
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
80c8496 almost 3 years ago
  • .gitattributes
    791 Bytes
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • README.md
    425 Bytes
    Update README.md over 3 years ago
  • config.json
    642 Bytes
    save as bertmodelformaskedlm rather than automodel about 4 years ago
  • model.safetensors
    440 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin
    440 MB
    xet
    save as bertmodelformaskedlm rather than automodel about 4 years ago
  • special_tokens_map.json
    112 Bytes
    Add initial MLM trained BERT-E model almost 5 years ago
  • tokenizer.json
    462 kB
    Add initial MLM trained BERT-E model almost 5 years ago
  • tokenizer_config.json
    357 Bytes
    Add initial MLM trained BERT-E model almost 5 years ago
  • vocab.txt
    222 kB
    Add initial MLM trained BERT-E model almost 5 years ago