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Vishesh062
/
customer-support-tweet-classifier

Text Classification
Transformers
Safetensors
English
distilbert
customer-support
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Vishesh062/customer-support-tweet-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Vishesh062/customer-support-tweet-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Vishesh062/customer-support-tweet-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Vishesh062/customer-support-tweet-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("Vishesh062/customer-support-tweet-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
customer-support-tweet-classifier
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Vishesh062's picture
Vishesh062
Update README.md
0b727c1 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    2.27 kB
    Update README.md about 2 months ago
  • config.json
    969 Bytes
    Upload 5 files about 2 months ago
  • label_encoder.pkl

    Detected Pickle imports (4)

    • "numpy._core.multiarray._reconstruct",
    • "sklearn.preprocessing._label.LabelEncoder",
    • "numpy.dtype",
    • "numpy.ndarray"

    How to fix it?

    316 Bytes
    xet
    Upload 5 files about 2 months ago
  • model.safetensors
    268 MB
    xet
    Upload 5 files about 2 months ago
  • tokenizer.json
    712 kB
    Upload 5 files about 2 months ago
  • tokenizer_config.json
    351 Bytes
    Upload 5 files about 2 months ago