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VictorGil75
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Champus

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
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xet
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="VictorGil75/Champus")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("VictorGil75/Champus")
model = AutoModelForSequenceClassification.from_pretrained("VictorGil75/Champus")
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Check out the documentation for more information.

Champus 

Modelo de clasificación de sentimiento para la subcategoría Champús.

## Métricas adicionales:
- F1 Score (ponderado): 0.96
- Cohen's Kappa: 0.91
- AUC-ROC: 0.9568376068376069
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