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JuelichSystemsAnalysis
/
quinex-quantity-v0-30M

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-v0-30M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JuelichSystemsAnalysis/quinex-quantity-v0-30M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="JuelichSystemsAnalysis/quinex-quantity-v0-30M")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JuelichSystemsAnalysis/quinex-quantity-v0-30M")
    model = AutoModelForTokenClassification.from_pretrained("JuelichSystemsAnalysis/quinex-quantity-v0-30M")
  • Notebooks
  • Google Colab
  • Kaggle
quinex-quantity-v0-30M
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  • 1 contributor
History: 4 commits
jangoepfert's picture
jangoepfert
Update tokenizer_config.json
34df844 verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    4.1 kB
    Update README.md 8 months ago
  • config.json
    828 Bytes
    Uploaded model 8 months ago
  • merges.txt
    476 kB
    Uploaded model 8 months ago
  • model.safetensors
    121 MB
    xet
    Uploaded model 8 months ago
  • special_tokens_map.json
    964 Bytes
    Uploaded model 8 months ago
  • tokenizer.json
    2.15 MB
    Uploaded model 8 months ago
  • tokenizer_config.json
    1.33 kB
    Update tokenizer_config.json 8 months ago
  • vocab.json
    817 kB
    Uploaded model 8 months ago