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SlavicNLP
/
SlavRoBERTa-PT-Classification-Baseline

Text Classification
Transformers
Safetensors
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use SlavicNLP/SlavRoBERTa-PT-Classification-Baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SlavicNLP/SlavRoBERTa-PT-Classification-Baseline with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SlavicNLP/SlavRoBERTa-PT-Classification-Baseline")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SlavicNLP/SlavRoBERTa-PT-Classification-Baseline")
    model = AutoModelForSequenceClassification.from_pretrained("SlavicNLP/SlavRoBERTa-PT-Classification-Baseline")
  • Notebooks
  • Google Colab
  • Kaggle
SlavRoBERTa-PT-Classification-Baseline
1.13 GB
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  • 1 contributor
History: 4 commits
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ArkadiusDS
Update README.md
9c2644f verified 12 months ago
  • .gitattributes
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  • README.md
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  • config.json
    2.29 kB
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  • model.safetensors
    1.11 GB
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.18 kB
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