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wietsedv
/
xlm-roberta-base-ft-udpos28-ca

Token Classification
Transformers
PyTorch
Catalan
xlm-roberta
part-of-speech
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use wietsedv/xlm-roberta-base-ft-udpos28-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wietsedv/xlm-roberta-base-ft-udpos28-ca with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="wietsedv/xlm-roberta-base-ft-udpos28-ca")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-ca")
    model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-ca")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-base-ft-udpos28-ca
1.12 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
wietsedv's picture
wietsedv
update README
8861408 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    9.38 kB
    update README about 4 years ago
  • config.json
    1.37 kB
    model dump about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.11 GB
    xet
    model dump about 4 years ago
  • special_tokens_map.json
    239 Bytes
    model dump about 4 years ago
  • tokenizer.json
    9.08 MB
    model dump about 4 years ago
  • tokenizer_config.json
    454 Bytes
    model dump about 4 years ago
  • train.args
    177 Bytes
    model dump about 4 years ago