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mnaylor
/
psychbert-cased

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

Instructions to use mnaylor/psychbert-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mnaylor/psychbert-cased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="mnaylor/psychbert-cased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("mnaylor/psychbert-cased")
    model = AutoModelForMaskedLM.from_pretrained("mnaylor/psychbert-cased")
  • Notebooks
  • Google Colab
  • Kaggle
psychbert-cased
434 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
Mitch Naylor
Update README.md
735ebaf over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    966 Bytes
    Update README.md over 4 years ago
  • config.json
    595 Bytes
    add model over 4 years ago
  • flax_model.msgpack
    433 MB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer over 4 years ago
  • tokenizer.json
    436 kB
    add tokenizer over 4 years ago
  • tokenizer_config.json
    334 Bytes
    add tokenizer over 4 years ago
  • vocab.txt
    213 kB
    add tokenizer over 4 years ago