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liaad
/
srl-pt_xlmr-large

Feature Extraction
Transformers
PyTorch
multilingual
Portuguese
xlm-roberta
xlm-roberta-large
semantic role labeling
finetuned
Model card Files Files and versions
xet
Community
1

Instructions to use liaad/srl-pt_xlmr-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use liaad/srl-pt_xlmr-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="liaad/srl-pt_xlmr-large")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("liaad/srl-pt_xlmr-large")
    model = AutoModel.from_pretrained("liaad/srl-pt_xlmr-large", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
srl-pt_xlmr-large
2.24 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 13 commits
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elishowk
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  • README.md
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  • config.json
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    Update config.json over 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.24 GB
    xet
    Added model files. almost 6 years ago
  • sentencepiece.bpe.model
    5.07 MB
    Added model files. almost 6 years ago
  • special_tokens_map.json
    150 Bytes
    Added model files. almost 6 years ago
  • tokenizer_config.json
    16 Bytes
    Added model files. almost 6 years ago