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SoftALL
/
OBSIDIAN

Text Classification
Transformers
Safetensors
Arabic
bert
arabic
arabert
social-media-analysis
threat-detection
streamlit
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use SoftALL/OBSIDIAN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SoftALL/OBSIDIAN with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SoftALL/OBSIDIAN")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SoftALL/OBSIDIAN")
    model = AutoModelForSequenceClassification.from_pretrained("SoftALL/OBSIDIAN")
  • Notebooks
  • Google Colab
  • Kaggle
OBSIDIAN
543 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
3zizo3's picture
3zizo3
Update README.md
b6bb8d0 verified 11 days ago
  • .gitattributes
    1.52 kB
    initial commit 16 days ago
  • README.md
    8.3 kB
    Update README.md 11 days ago
  • config.json
    975 Bytes
    Upload OBSIDIAN model files 16 days ago
  • model.safetensors
    541 MB
    xet
    Upload OBSIDIAN model files 16 days ago
  • tokenizer.json
    1.78 MB
    Upload OBSIDIAN model files 16 days ago
  • tokenizer_config.json
    451 Bytes
    Upload OBSIDIAN model files 16 days ago