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K-Monitor
/
kmdb_classification_category_v2

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

Instructions to use K-Monitor/kmdb_classification_category_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use K-Monitor/kmdb_classification_category_v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="K-Monitor/kmdb_classification_category_v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("K-Monitor/kmdb_classification_category_v2")
    model = AutoModelForSequenceClassification.from_pretrained("K-Monitor/kmdb_classification_category_v2")
  • Notebooks
  • Google Colab
  • Kaggle
kmdb_classification_category_v2
458 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
boapps's picture
boapps
Upload svm_classifier_category.joblib with huggingface_hub
537f57b verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification over 1 year ago
  • config.json
    742 Bytes
    Upload BertForSequenceClassification over 1 year ago
  • model.safetensors
    443 MB
    xet
    Upload BertForSequenceClassification over 1 year ago
  • svm_classifier_category.joblib

    Detected Pickle imports (4)

    • "sklearn.svm._classes.SVC",
    • "joblib.numpy_pickle.NumpyArrayWrapper",
    • "numpy.ndarray",
    • "numpy.dtype"

    How to fix it?

    15.3 MB
    xet
    Upload svm_classifier_category.joblib with huggingface_hub 10 months ago