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ywan
/
unite-up

Fill-Mask
Transformers
PyTorch
xlm-roberta
metric
quality estimation
translation evaluation
Model card Files Files and versions
xet
Community
1

Instructions to use ywan/unite-up with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ywan/unite-up with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="ywan/unite-up")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("ywan/unite-up")
    model = AutoModelForMaskedLM.from_pretrained("ywan/unite-up")
  • Notebooks
  • Google Colab
  • Kaggle
unite-up
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
wanyu2018umac
Update parameter dict.
970bfcf about 4 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • README.md
    178 Bytes
    Upload files. about 4 years ago
  • config.json
    760 Bytes
    Create config.json about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    2.26 GB
    xet
    Update parameter dict. about 4 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload files. about 4 years ago
  • tokenizer.json
    9.1 MB
    Upload files. about 4 years ago