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KPROCKS
/
Model

Text Classification
Transformers
Safetensors
Gujarati
bert
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use KPROCKS/Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="KPROCKS/Model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("KPROCKS/Model")
    model = AutoModelForSequenceClassification.from_pretrained("KPROCKS/Model")
  • Notebooks
  • Google Colab
  • Kaggle
Model
954 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
KPROCKS's picture
KPROCKS
Create README.md
bba1ef2 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    75 Bytes
    Create README.md over 1 year ago
  • config.json
    946 Bytes
    Upload BertForSequenceClassification over 1 year ago
  • model.safetensors
    950 MB
    xet
    Upload BertForSequenceClassification over 1 year ago
  • special_tokens_map.json
    732 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.32 kB
    Upload tokenizer over 1 year ago
  • vocab.txt
    3.36 MB
    Upload tokenizer over 1 year ago