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soodoku
/
piedomains-text

Text Classification
Transformers
Safetensors
modernbert
website-classification
multilingual
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use soodoku/piedomains-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use soodoku/piedomains-text with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="soodoku/piedomains-text")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("soodoku/piedomains-text")
    model = AutoModelForSequenceClassification.from_pretrained("soodoku/piedomains-text", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
piedomains-text
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
soodoku's picture
soodoku
correct the drugs/retail claim: measured, not fixed
38d7e64 verified about 5 hours ago
  • .gitattributes
    1.57 kB
    mmBERT-small fine-tune, 39 Shallalist classes, T=3.416 5 days ago
  • README.md
    3.53 kB
    correct the drugs/retail claim: measured, not fixed about 5 hours ago
  • calibration.json
    191 Bytes
    text-v13: hash-based splits, 44 classes with unavailable, recalibrated about 5 hours ago
  • config.json
    3.84 kB
    text-v13: hash-based splits, 44 classes with unavailable, recalibrated about 5 hours ago
  • config.json.piedomains
    211 Bytes
    text-v6: parked class, restored term frequency and word order 1 day ago
  • labels.json
    605 Bytes
    text-v13: hash-based splits, 44 classes with unavailable, recalibrated about 5 hours ago
  • model.safetensors
    1.23 GB
    xet
    text-v13: hash-based splits, 44 classes with unavailable, recalibrated about 5 hours ago
  • test_metrics.json
    6.62 kB
    text-v13: hash-based splits, 44 classes with unavailable, recalibrated about 5 hours ago
  • tokenizer.json
    34.4 MB
    xet
    text-v6: parked class, restored term frequency and word order 1 day ago
  • tokenizer_config.json
    545 Bytes
    text-v6: parked class, restored term frequency and word order 1 day ago