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olehmell
/
xlm-roberta-posts-manipulation-classifier

Text Classification
Transformers
Safetensors
Ukrainian
Russian
xlm-roberta
manipulation
ukraine
russia
telegram
multi-label
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use olehmell/xlm-roberta-posts-manipulation-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use olehmell/xlm-roberta-posts-manipulation-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="olehmell/xlm-roberta-posts-manipulation-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("olehmell/xlm-roberta-posts-manipulation-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("olehmell/xlm-roberta-posts-manipulation-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-posts-manipulation-classifier
1.13 GB
Ctrl+K
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  • 1 contributor
History: 8 commits
olehmell's picture
olehmell
Update README.md
04b7826 verified 8 months ago
  • .gitattributes
    1.57 kB
    Uploading checkpoint 2400 (best F1 score) 10 months ago
  • README.md
    7.1 kB
    Update README.md 8 months ago
  • config.json
    1.15 kB
    Uploading checkpoint 2400 (best F1 score) 10 months ago
  • model.safetensors
    1.11 GB
    xet
    Uploading checkpoint 6450 10 months ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Uploading checkpoint 2400 (best F1 score) 10 months ago
  • special_tokens_map.json
    964 Bytes
    Uploading checkpoint 2400 (best F1 score) 10 months ago
  • tokenizer.json
    17.1 MB
    xet
    Uploading checkpoint 2400 (best F1 score) 10 months ago
  • tokenizer_config.json
    1.37 kB
    Uploading checkpoint 2400 (best F1 score) 10 months ago