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devngho
/
code_edu_classifier_v2_microsoft_codebert-base

Text Classification
Transformers
JAX
Safetensors
code
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use devngho/code_edu_classifier_v2_microsoft_codebert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use devngho/code_edu_classifier_v2_microsoft_codebert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="devngho/code_edu_classifier_v2_microsoft_codebert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("devngho/code_edu_classifier_v2_microsoft_codebert-base")
    model = AutoModelForSequenceClassification.from_pretrained("devngho/code_edu_classifier_v2_microsoft_codebert-base")
  • Notebooks
  • Google Colab
  • Kaggle

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