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SMG0
/
Araberv2_large

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use SMG0/Araberv2_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SMG0/Araberv2_large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SMG0/Araberv2_large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SMG0/Araberv2_large")
    model = AutoModelForSequenceClassification.from_pretrained("SMG0/Araberv2_large")
  • Notebooks
  • Google Colab
  • Kaggle
Araberv2_large
1.48 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
SMG0's picture
SMG0
update model card README.md
d0ec1af almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 almost 3 years ago
  • README.md
    2.19 kB
    update model card README.md almost 3 years ago
  • config.json
    960 Bytes
    Training in progress, epoch 1 almost 3 years ago
  • pytorch_model.bin
    1.48 GB
    xet
    Model save almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, epoch 1 almost 3 years ago
  • tokenizer.json
    1.77 MB
    Training in progress, epoch 1 almost 3 years ago
  • tokenizer_config.json
    463 Bytes
    Training in progress, epoch 1 almost 3 years ago
  • training_args.bin
    3.96 kB
    xet
    Training in progress, epoch 1 almost 3 years ago
  • vocab.txt
    751 kB
    Training in progress, epoch 1 almost 3 years ago