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JuelichSystemsAnalysis
/
quinex-quantity-v0-82M

Token Classification
Transformers
Safetensors
English
roberta
quantity span identification
quantity extraction
quantity mention detection
quantititative information extraction
measurement extraction
numeric
number
unit
Model card Files Files and versions
xet
Community

Instructions to use JuelichSystemsAnalysis/quinex-quantity-v0-82M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JuelichSystemsAnalysis/quinex-quantity-v0-82M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="JuelichSystemsAnalysis/quinex-quantity-v0-82M")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JuelichSystemsAnalysis/quinex-quantity-v0-82M")
    model = AutoModelForTokenClassification.from_pretrained("JuelichSystemsAnalysis/quinex-quantity-v0-82M")
  • Notebooks
  • Google Colab
  • Kaggle
quinex-quantity-v0-82M
330 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
jangoepfert's picture
jangoepfert
Update README.md
087835a verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    4.11 kB
    Update README.md 7 months ago
  • added_tokens.json
    4.98 kB
    Uploaded models 7 months ago
  • config.json
    863 Bytes
    Uploaded models 7 months ago
  • merges.txt
    456 kB
    Uploaded models 7 months ago
  • model.safetensors
    327 MB
    xet
    Uploaded models 7 months ago
  • special_tokens_map.json
    964 Bytes
    Uploaded models 7 months ago
  • tokenizer.json
    2.15 MB
    Uploaded models 7 months ago
  • tokenizer_config.json
    42.3 kB
    Uploaded models 7 months ago
  • vocab.json
    798 kB
    Uploaded models 7 months ago