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from transformers import pipeline

pipe = pipeline("text-classification", model="J-LAB/Classificador_de_prompt")
pipe("Prompt")

Categorias:

    "0": "Analise e Interpretação",
    "1": "Aprendizado e Tutorial",
    "2": "Consultoria e Estratégia",
    "3": "Criação e Criatividade",
    "4": "Cálculos e Matemática",
    "5": "Informação Geral",
    "6": "Programação e Desenvolvimento",
    "7": "Suporte e Ajuda"

Accuracy: 88,80%

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Safetensors

Model size

435M params

Tensor type

F32

Inference Examples

Text Classification

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