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NLPclass
/
bert_textclassification_persiandata2

Text Classification
Transformers
Safetensors
Persian
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="NLPclass/bert_textclassification_persiandata2")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("NLPclass/bert_textclassification_persiandata2")
model = AutoModelForSequenceClassification.from_pretrained("NLPclass/bert_textclassification_persiandata2")
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text classification persian data to 6 class

bert model=HooshvareLab/bert-base-parsbert-uncased
dataset=SeyedAli/Persian-Text-Emotion

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Tensor type
F32
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Dataset used to train NLPclass/bert_textclassification_persiandata2