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Ammok
/
predict-llm

Text Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
3

Instructions to use Ammok/predict-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ammok/predict-llm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Ammok/predict-llm")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Ammok/predict-llm")
    model = AutoModelForSequenceClassification.from_pretrained("Ammok/predict-llm")
  • Notebooks
  • Google Colab
  • Kaggle
predict-llm
438 MB
Ctrl+K
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  • 1 contributor
History: 11 commits
Ammok's picture
Ammok
Upload tokenizer
853e03d over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    1.03 kB
    Upload BertForSequenceClassification over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    438 MB
    xet
    Upload BertForSequenceClassification over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    366 Bytes
    Upload tokenizer over 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer over 2 years ago