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="hung20gg/neu_text_classification")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("hung20gg/neu_text_classification")
model = AutoModelForSequenceClassification.from_pretrained("hung20gg/neu_text_classification")
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This is the demo version of our model. There will be somg buggy issue and the labels are not correct.

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Model size
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Tensor type
F32
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