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PushkarKumar
/
veritas_ai_v2

Text Classification
Transformers
Safetensors
PyTorch
English
longformer
fake-news-detection
misinformation-detection
news-classification
multi-dataset
vertex-ai
Model card Files Files and versions
xet
Community

Instructions to use PushkarKumar/veritas_ai_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PushkarKumar/veritas_ai_v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="PushkarKumar/veritas_ai_v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("PushkarKumar/veritas_ai_v2")
    model = AutoModelForSequenceClassification.from_pretrained("PushkarKumar/veritas_ai_v2")
  • Notebooks
  • Google Colab
  • Kaggle
veritas_ai_v2
598 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
PushkarKumar's picture
PushkarKumar
Update README.md
4f62dd1 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    6.64 kB
    Update README.md 2 months ago
  • config.json
    901 Bytes
    Upload 8 files 2 months ago
  • merges.txt
    456 kB
    Upload 8 files 2 months ago
  • model.safetensors
    595 MB
    xet
    Upload model.safetensors 2 months ago
  • special_tokens_map.json
    280 Bytes
    Upload 8 files 2 months ago
  • tokenizer.json
    2.11 MB
    Upload 8 files 2 months ago
  • tokenizer_config.json
    1.22 kB
    Upload 8 files 2 months ago
  • training_args.bin
    4.92 kB
    xet
    Upload 8 files 2 months ago
  • vocab.json
    798 kB
    Upload 8 files 2 months ago