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5CD-AI
/
visobert-14gb-corpus

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

Instructions to use 5CD-AI/visobert-14gb-corpus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 5CD-AI/visobert-14gb-corpus with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="5CD-AI/visobert-14gb-corpus")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("5CD-AI/visobert-14gb-corpus")
    model = AutoModelForMaskedLM.from_pretrained("5CD-AI/visobert-14gb-corpus")
  • Notebooks
  • Google Colab
  • Kaggle
visobert-14gb-corpus
392 MB
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  • 3 contributors
History: 25 commits
khang119966's picture
khang119966
Update README.md
7d5ed03 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.95 kB
    Update README.md almost 2 years ago
  • config.json
    694 Bytes
    Update config.json about 2 years ago
  • model.safetensors
    390 MB
    xet
    Upload XLMRobertaForMaskedLM about 2 years ago
  • sentencepiece.bpe.model
    471 kB
    xet
    Upload tokenizer about 2 years ago
  • special_tokens_map.json
    964 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    1.1 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.2 kB
    Upload tokenizer about 2 years ago