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FartLabs
/
Model_A

Text Classification
Transformers
Safetensors
roberta
Model card Files Files and versions
xet
Community

Instructions to use FartLabs/Model_A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FartLabs/Model_A with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="FartLabs/Model_A")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("FartLabs/Model_A")
    model = AutoModelForSequenceClassification.from_pretrained("FartLabs/Model_A")
  • Notebooks
  • Google Colab
  • Kaggle
Model_A
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  • 1 contributor
History: 2 commits
yzimmermann's picture
yzimmermann
Upload RobertaForSequenceClassification
a7f72bf verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload RobertaForSequenceClassification over 1 year ago
  • config.json
    994 Bytes
    Upload RobertaForSequenceClassification over 1 year ago
  • model.safetensors
    334 MB
    xet
    Upload RobertaForSequenceClassification over 1 year ago