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velocity-ai
/
phi-3.5-address-validation-pretrained

Text Classification
Transformers
Safetensors
phi3
endpoints
classification-inference
custom_code
Model card Files Files and versions
xet
Community

Instructions to use velocity-ai/phi-3.5-address-validation-pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use velocity-ai/phi-3.5-address-validation-pretrained with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="velocity-ai/phi-3.5-address-validation-pretrained", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("velocity-ai/phi-3.5-address-validation-pretrained", trust_remote_code=True)
    model = AutoModelForSequenceClassification.from_pretrained("velocity-ai/phi-3.5-address-validation-pretrained", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
phi-3.5-address-validation-pretrained / code
4.75 kB
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  • 1 contributor
History: 12 commits
velocity-ai's picture
velocity-ai
Update code/inference.py
d9c2292 verified 10 months ago
  • inference.py
    4.75 kB
    Update code/inference.py 10 months ago