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abbasmahmudiai
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text_classification_bert

Text Classification
Transformers
Safetensors
Persian
bert
text-embeddings-inference
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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="abbasmahmudiai/text_classification_bert")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("abbasmahmudiai/text_classification_bert")
model = AutoModelForSequenceClassification.from_pretrained("abbasmahmudiai/text_classification_bert")
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Model Card for Model ID

bertmodel=HooshvareLab/bert-base-parsbert-uncased dataset=SeyedAli/Persian-Text-Emotion epoch=6 Training Loss =0.000300

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0.2B params
Tensor type
F32
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Dataset used to train abbasmahmudiai/text_classification_bert