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VijayRam1812
/
content-classifier-gemma

Text Classification
Transformers
Safetensors
gemma3_text
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use VijayRam1812/content-classifier-gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VijayRam1812/content-classifier-gemma with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="VijayRam1812/content-classifier-gemma")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("VijayRam1812/content-classifier-gemma")
    model = AutoModelForSequenceClassification.from_pretrained("VijayRam1812/content-classifier-gemma")
  • Notebooks
  • Google Colab
  • Kaggle
content-classifier-gemma
2.03 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
VijayRam1812's picture
VijayRam1812
Upload Gemma3TextForSequenceClassification
25a3f67 verified 2 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 2 months ago
  • README.md
    5.17 kB
    Upload Gemma3TextForSequenceClassification 2 months ago
  • chat_template.jinja
    595 Bytes
    Upload tokenizer 2 months ago
  • config.json
    1.87 kB
    Upload Gemma3TextForSequenceClassification 2 months ago
  • model.safetensors
    2 GB
    xet
    Upload Gemma3TextForSequenceClassification 2 months ago
  • tokenizer.json
    33.4 MB
    xet
    Upload tokenizer 2 months ago
  • tokenizer_config.json
    716 Bytes
    Upload tokenizer 2 months ago