# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Nada81/Nada_Model")
model = AutoModel.from_pretrained("Nada81/Nada_Model")Quick Links
Model Title
Your model description and additional information go here.
Nada_Model
Multilingual sentiment classification (Label_0: mixed, Label_1: negative, Label_2: positive) of Arabic reviews by fine-tuning XLM-Roberta-Large. Zero shot classification of other languages (also works in mixed languages - ex. Arabic & English). Mixed category is not accurate and may confuse other classes (was based on a rate of 3 out of 5 in reviews).
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Nada81/Nada_Model")