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sparsh35
/
trained_gemma_classifier

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

Instructions to use sparsh35/trained_gemma_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sparsh35/trained_gemma_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sparsh35/trained_gemma_classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sparsh35/trained_gemma_classifier")
    model = AutoModelForSequenceClassification.from_pretrained("sparsh35/trained_gemma_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
trained_gemma_classifier
645 MB
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  • 1 contributor
History: 3 commits
sparsh35's picture
sparsh35
Upload tokenizer
320ad3f verified 7 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 7 months ago
  • README.md
    5.17 kB
    Upload Gemma3TextForSequenceClassification 7 months ago
  • added_tokens.json
    35 Bytes
    Upload tokenizer 7 months ago
  • config.json
    1.97 kB
    Upload Gemma3TextForSequenceClassification 7 months ago
  • model.safetensors
    606 MB
    xet
    Upload Gemma3TextForSequenceClassification 7 months ago
  • special_tokens_map.json
    662 Bytes
    Upload tokenizer 7 months ago
  • tokenizer.json
    33.4 MB
    xet
    Upload tokenizer 7 months ago
  • tokenizer.model
    4.69 MB
    xet
    Upload tokenizer 7 months ago
  • tokenizer_config.json
    1.16 MB
    Upload tokenizer 7 months ago