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erickdp
/
ssa_medium

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

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

  • Libraries
  • Transformers

    How to use erickdp/ssa_medium with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="erickdp/ssa_medium")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("erickdp/ssa_medium")
    model = AutoModelForSequenceClassification.from_pretrained("erickdp/ssa_medium", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ssa_medium
165 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
erickdp's picture
erickdp
gg-ai/small-sent
0131429 verified over 2 years ago
  • runs
    gg-ai/small-sent over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.51 kB
    gg-ai/small-sent over 2 years ago
  • config.json
    1.03 kB
    gg-ai/small-sent over 2 years ago
  • model.safetensors
    163 MB
    xet
    gg-ai/small-sent over 2 years ago
  • special_tokens_map.json
    125 Bytes
    gg-ai/small-sent over 2 years ago
  • tokenizer.json
    1.18 MB
    gg-ai/small-sent over 2 years ago
  • tokenizer_config.json
    1.24 kB
    gg-ai/small-sent over 2 years ago
  • training_args.bin
    4.86 kB
    xet
    gg-ai/small-sent over 2 years ago
  • vocab.txt
    387 kB
    gg-ai/small-sent over 2 years ago