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klue
/
roberta-small

Fill-Mask
Transformers
PyTorch
Safetensors
Korean
roberta
korean
klue
neuron
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use klue/roberta-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="klue/roberta-small")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("klue/roberta-small")
    model = AutoModelForMaskedLM.from_pretrained("klue/roberta-small")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
roberta-small
779 MB
Ctrl+K
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  • 5 contributors
History: 10 commits
Jihyung Moon
badaoui's picture
badaoui HF Staff
Add Neuron-optimized model files (#2)
b6b4c36 verified 10 months ago
  • .gitattributes
    793 Bytes
    Add Neuron-optimized model files (#2) 10 months ago
  • README.md
    1.38 kB
    Add Neuron-optimized model files (#2) 10 months ago
  • config.json
    1.41 kB
    Add Neuron-optimized model files (#2) 10 months ago
  • model.neuron
    233 MB
    xet
    Add Neuron-optimized model files (#2) 10 months ago
  • model.safetensors
    273 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    273 MB
    xet
    fix: model_max_length to 514 over 4 years ago
  • special_tokens_map.json
    971 Bytes
    Add Neuron-optimized model files (#2) 10 months ago
  • tokenizer.json
    752 kB
    Add Neuron-optimized model files (#2) 10 months ago
  • tokenizer_config.json
    1.31 kB
    Add Neuron-optimized model files (#2) 10 months ago
  • vocab.txt
    248 kB
    fix: several issues almost 5 years ago