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anmolshrivastav
/
indicbert-scam-classifier

Text Classification
Transformers
ONNX
Safetensors
bert
scam-detection
fraud-detection
indic
nlp
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use anmolshrivastav/indicbert-scam-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anmolshrivastav/indicbert-scam-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="anmolshrivastav/indicbert-scam-classifier")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("anmolshrivastav/indicbert-scam-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("anmolshrivastav/indicbert-scam-classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
indicbert-scam-classifier
2.52 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
anmolshrivastav's picture
anmolshrivastav
Update README.md
d5a02cb verified 4 days ago
  • onnx
    Add FP32 and Quantized INT8 ONNX models with configs 6 days ago
  • .gitattributes
    1.52 kB
    initial commit 10 days ago
  • README.md
    7.88 kB
    Update README.md 4 days ago
  • config.json
    909 Bytes
    Upload BertForSequenceClassification 10 days ago
  • model.safetensors
    1.11 GB
    xet
    Upload BertForSequenceClassification 10 days ago
  • tokenizer.json
    7.75 MB
    Upload tokenizer 10 days ago
  • tokenizer_config.json
    489 Bytes
    Upload tokenizer 10 days ago