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moma1820
/
xxmlr

Feature Extraction
Transformers
PyTorch
xlm-roberta-xl
Model card Files Files and versions
xet
Community
1

Instructions to use moma1820/xxmlr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use moma1820/xxmlr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="moma1820/xxmlr")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("moma1820/xxmlr")
    model = AutoModel.from_pretrained("moma1820/xxmlr")
  • Notebooks
  • Google Colab
  • Kaggle
xxmlr
1.12 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
moma1820's picture
moma1820
add tokenizer
40193b9 about 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • config.json
    722 Bytes
    add model about 4 years ago
  • pytorch_model.bin
    1.11 GB
    xet
    add model about 4 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    add tokenizer about 4 years ago
  • special_tokens_map.json
    239 Bytes
    add tokenizer about 4 years ago
  • tokenizer_config.json
    437 Bytes
    add tokenizer about 4 years ago