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galthran
/
distilbert-base-uncased-acllm

Text Classification
Transformers
PyTorch
distilbert
Model card Files Files and versions
xet
Community
1

Instructions to use galthran/distilbert-base-uncased-acllm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use galthran/distilbert-base-uncased-acllm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="galthran/distilbert-base-uncased-acllm")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("galthran/distilbert-base-uncased-acllm")
    model = AutoModelForSequenceClassification.from_pretrained("galthran/distilbert-base-uncased-acllm")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-base-uncased-acllm
804 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
galthran's picture
galthran
init
bef21cc about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.04 kB
    init about 3 years ago
  • optimizer.pt
    536 MB
    xet
    init about 3 years ago
  • pytorch_model.bin
    268 MB
    xet
    init about 3 years ago
  • rng_state.pth
    14.6 kB
    xet
    init about 3 years ago
  • scheduler.pt

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    627 Bytes
    xet
    init about 3 years ago
  • special_tokens_map.json
    125 Bytes
    init about 3 years ago
  • tokenizer_config.json
    412 Bytes
    init about 3 years ago
  • trainer_state.json
    2.4 kB
    init about 3 years ago
  • training_args.bin
    3.39 kB
    xet
    init about 3 years ago
  • vocab.txt
    232 kB
    init about 3 years ago