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hfl
/
cino-small-v2

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
xlm-roberta
Model card Files Files and versions
xet

Instructions to use hfl/cino-small-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hfl/cino-small-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="hfl/cino-small-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("hfl/cino-small-v2")
    model = AutoModelForMaskedLM.from_pretrained("hfl/cino-small-v2")
  • Notebooks
  • Google Colab
  • Kaggle
cino-small-v2
1.6 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
ziqingyang's picture
ziqingyang
Upload tf_model.h5 with git-lfs
86df088 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.58 kB
    Upload README.md over 4 years ago
  • config.json
    727 Bytes
    Upload config.json over 4 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?

    590 MB
    xet
    Upload pytorch_model.bin with git-lfs over 4 years ago
  • sentencepiece.bpe.model
    2.81 MB
    xet
    Upload sentencepiece.bpe.model with git-lfs over 4 years ago
  • special_tokens_map.json
    238 Bytes
    Upload special_tokens_map.json over 4 years ago
  • tf_model.h5
    1.01 GB
    xet
    Upload tf_model.h5 with git-lfs over 4 years ago
  • tokenizer_config.json
    405 Bytes
    Upload tokenizer_config.json over 4 years ago