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TransQuest
/
monotransquest-da-any_en

Text Classification
Transformers
PyTorch
xlm-roberta
Quality Estimation
monotransquest
DA
Model card Files Files and versions
xet
Community
3

Instructions to use TransQuest/monotransquest-da-any_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TransQuest/monotransquest-da-any_en with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="TransQuest/monotransquest-da-any_en")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("TransQuest/monotransquest-da-any_en")
    model = AutoModelForSequenceClassification.from_pretrained("TransQuest/monotransquest-da-any_en")
  • Notebooks
  • Google Colab
  • Kaggle
monotransquest-da-any_en
Ctrl+K
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  • 1 contributor
History: 4 commits
TransQuest's picture
TransQuest
Update README.md
386039f almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    5.41 kB
    Update README.md almost 5 years ago
  • config.json
    1.22 kB
    from Google Colab about 5 years ago
  • eval_results.txt
    118 Bytes
    from Google Colab about 5 years ago
  • pytorch_model.bin
    2.24 GB
    xet
    from Google Colab about 5 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    from Google Colab about 5 years ago
  • special_tokens_map.json
    150 Bytes
    from Google Colab about 5 years ago
  • tokenizer_config.json
    40 Bytes
    from Google Colab about 5 years ago