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TransQuest
/
monotransquest-da-en_any

Text Classification
Transformers
PyTorch
xlm-roberta
Quality Estimation
monotransquest
DA
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="TransQuest/monotransquest-da-en_any")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("TransQuest/monotransquest-da-en_any")
    model = AutoModelForSequenceClassification.from_pretrained("TransQuest/monotransquest-da-en_any")
  • Notebooks
  • Google Colab
  • Kaggle
monotransquest-da-en_any
2.25 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
TransQuest's picture
TransQuest
Create README.md
f15603a almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    5.41 kB
    Create 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

    Detected Pickle imports (3)

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

    What is a pickle import?

    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