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="nlp-chula/traffy-problem-predict")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("nlp-chula/traffy-problem-predict")
model = AutoModelForSequenceClassification.from_pretrained("nlp-chula/traffy-problem-predict")
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traffy-problem-predict

This model is a fine-tuned version of PhayaThaiBERT on Traffy Fondue dataset

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Model size
0.3B params
Tensor type
F32
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