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NeoCyber
/
m-e5-small-uit-vsfc-uni

Text Classification
Transformers
Safetensors
Vietnamese
uni_vsfc_transformer
vietnamese
custom-code
multilingual-e5
uni_vsfc
uit-vsfc
education
multitask
custom_code
Model card Files Files and versions
xet
Community

Instructions to use NeoCyber/m-e5-small-uit-vsfc-uni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NeoCyber/m-e5-small-uit-vsfc-uni with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NeoCyber/m-e5-small-uit-vsfc-uni", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("NeoCyber/m-e5-small-uit-vsfc-uni", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • configuration_uni.py
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