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Var3n
/
jobads-identification

Text Classification
Transformers
Safetensors
German
electra
historical-newspapers
ocr
job-advertisements
digital-humanities
Model card Files Files and versions
xet
Community

Instructions to use Var3n/jobads-identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Var3n/jobads-identification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Var3n/jobads-identification")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Var3n/jobads-identification")
    model = AutoModelForSequenceClassification.from_pretrained("Var3n/jobads-identification", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
jobads-identification
1.62 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Var3n's picture
Var3n
Create README.md
34318ce verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    11.7 kB
    Create README.md about 1 month ago
  • config.json
    786 Bytes
    Upload Jobads Identification model about 1 month ago
  • model.safetensors
    541 MB
    xet
    Upload Jobads Identification model about 1 month ago
  • optimizer.pt
    1.08 GB
    xet
    Upload Jobads Identification model about 1 month ago
  • rng_state.pth
    14.2 kB
    xet
    Upload Jobads Identification model about 1 month ago
  • scheduler.pt
    1.06 kB
    xet
    Upload Jobads Identification model about 1 month ago
  • trainer_state.json
    6.81 kB
    Upload Jobads Identification model about 1 month ago
  • training_args.bin
    5.24 kB
    xet
    Upload Jobads Identification model about 1 month ago