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crichalchemist
/
welfare-constructs-distilbert

Text Classification
Transformers
Safetensors
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use crichalchemist/welfare-constructs-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use crichalchemist/welfare-constructs-distilbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="crichalchemist/welfare-constructs-distilbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("crichalchemist/welfare-constructs-distilbert")
    model = AutoModelForSequenceClassification.from_pretrained("crichalchemist/welfare-constructs-distilbert")
  • Notebooks
  • Google Colab
  • Kaggle
welfare-constructs-distilbert
269 MB
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  • 1 contributor
History: 3 commits
crichalchemist's picture
crichalchemist
Upload tokenizer
7923577 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    5.17 kB
    Welfare classifier -- MAE=0.1586 3 months ago
  • config.json
    1.01 kB
    Welfare classifier -- MAE=0.1586 3 months ago
  • model.safetensors
    268 MB
    xet
    Welfare classifier -- MAE=0.1586 3 months ago
  • tokenizer.json
    712 kB
    Upload tokenizer 3 months ago
  • tokenizer_config.json
    328 Bytes
    Upload tokenizer 3 months ago