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DerivedFunction
/
polyglot-tagger-v2.2

Token Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
language-identification
codeswitching
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use DerivedFunction/polyglot-tagger-v2.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DerivedFunction/polyglot-tagger-v2.2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="DerivedFunction/polyglot-tagger-v2.2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("DerivedFunction/polyglot-tagger-v2.2")
    model = AutoModelForTokenClassification.from_pretrained("DerivedFunction/polyglot-tagger-v2.2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
polyglot-tagger-v2.2
1.13 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 42 commits
DerivedFunction1's picture
DerivedFunction1
add
38c86e3 4 months ago
  • runs
    add 4 months ago
  • .gitattributes
    1.57 kB
    Model save 4 months ago
  • README.md
    19.2 kB
    Update README.md 4 months ago
  • config.json
    8.18 kB
    Training in progress, step 2500 4 months ago
  • model.safetensors
    1.11 GB
    xet
    Upload XLMRobertaForTokenClassification 4 months ago
  • tokenizer.json
    16.8 MB
    xet
    Model save 4 months ago
  • tokenizer_config.json
    314 Bytes
    Model save 4 months ago
  • trainer_state.json
    127 kB
    End of training 4 months ago
  • training_args.bin
    5.2 kB
    xet
    Training in progress, step 2500 4 months ago