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csala23
/
JustinIA

Text Classification
Transformers
PyTorch
Spanish
roberta
legal
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use csala23/JustinIA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use csala23/JustinIA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="csala23/JustinIA")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("csala23/JustinIA")
    model = AutoModelForSequenceClassification.from_pretrained("csala23/JustinIA")
  • Notebooks
  • Google Colab
  • Kaggle
JustinIA
1.5 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
csala23's picture
csala23
Update README.md
6974ff2 verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.96 kB
    Update README.md over 1 year ago
  • config.json
    2.86 kB
    Version 1.0 about 3 years ago
  • merges.txt
    509 kB
    Version 1.0 about 3 years ago
  • optimizer.pt
    997 MB
    xet
    Version 1.0 about 3 years ago
  • pytorch_model.bin
    499 MB
    xet
    Version 1.0 about 3 years ago
  • rng_state.pth
    14.6 kB
    xet
    Version 1.0 about 3 years ago
  • scheduler.pt
    627 Bytes
    xet
    Version 1.0 about 3 years ago
  • special_tokens_map.json
    957 Bytes
    Version 1.0 about 3 years ago
  • tokenizer.json
    2.21 MB
    Version 1.0 about 3 years ago
  • tokenizer_config.json
    1.35 kB
    Version 1.0 about 3 years ago
  • trainer_state.json
    6.19 kB
    Version 1.0 about 3 years ago
  • training_args.bin
    3.58 kB
    xet
    Version 1.0 about 3 years ago
  • vocab.json
    851 kB
    Version 1.0 about 3 years ago