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alionder
/
acer_nitro_mdberta

Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use alionder/acer_nitro_mdberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="alionder/acer_nitro_mdberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("alionder/acer_nitro_mdberta")
    model = AutoModelForSequenceClassification.from_pretrained("alionder/acer_nitro_mdberta")
  • Notebooks
  • Google Colab
  • Kaggle
acer_nitro_mdberta
1.12 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
alionder's picture
alionder
Training completed!
c9f2133 over 2 years ago
  • runs
    Training completed! over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.2 kB
    Training completed! over 2 years ago
  • added_tokens.json
    23 Bytes
    Training completed! over 2 years ago
  • config.json
    1.2 kB
    Training completed! over 2 years ago
  • model.safetensors
    1.12 GB
    xet
    Training completed! over 2 years ago
  • special_tokens_map.json
    286 Bytes
    Training completed! over 2 years ago
  • spm.model
    4.31 MB
    xet
    Training completed! over 2 years ago
  • tokenizer_config.json
    1.28 kB
    Training completed! over 2 years ago
  • training_args.bin
    4.73 kB
    xet
    Training completed! over 2 years ago