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JuliusAlphonso
/
distilbert-plutchik

Text Classification
Transformers
PyTorch
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use JuliusAlphonso/distilbert-plutchik with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JuliusAlphonso/distilbert-plutchik with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="JuliusAlphonso/distilbert-plutchik")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JuliusAlphonso/distilbert-plutchik")
    model = AutoModelForSequenceClassification.from_pretrained("JuliusAlphonso/distilbert-plutchik")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-plutchik
264 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
JuliusAlphonso's picture
JuliusAlphonso
Create README.md
034821c almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • README.md
    181 Bytes
    Create README.md almost 5 years ago
  • config.json
    949 Bytes
    add model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    263 MB
    xet
    add model almost 5 years ago
  • special_tokens_map.json
    112 Bytes
    add model almost 5 years ago
  • tokenizer.json
    436 kB
    add model almost 5 years ago
  • tokenizer_config.json
    290 Bytes
    add model almost 5 years ago
  • vocab.txt
    213 kB
    add model almost 5 years ago