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MatthijsN
/
happy

Fill-Mask
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use MatthijsN/happy with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="MatthijsN/happy")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("MatthijsN/happy")
    model = AutoModelForMaskedLM.from_pretrained("MatthijsN/happy")
  • Notebooks
  • Google Colab
  • Kaggle
happy
502 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
MatthijsN's picture
MatthijsN
Update README.md
7a01909 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • Happy.jpg
    6.87 kB
    Upload Happy.jpg about 3 years ago
  • Happy.png
    58.5 kB
    Upload Happy.png about 3 years ago
  • README.md
    236 Bytes
    Update README.md about 3 years ago
  • config.json
    688 Bytes
    Upload RobertaForMaskedLM about 3 years ago
  • happy.webp
    33 kB
    Upload happy.webp about 3 years ago
  • merges.txt
    456 kB
    Upload tokenizer about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    499 MB
    xet
    Upload RobertaForMaskedLM about 3 years ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    346 Bytes
    Upload tokenizer about 3 years ago
  • vocab.json
    798 kB
    Upload tokenizer about 3 years ago