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="TheMohanad1/marbert-arabic-sentiment-analyzer")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("TheMohanad1/marbert-arabic-sentiment-analyzer")
model = AutoModelForSequenceClassification.from_pretrained("TheMohanad1/marbert-arabic-sentiment-analyzer", device_map="auto")
Quick Links

Arabic Sentiment Analysis (MARBERTv2)

نموذج لتحليل المشاعر بالعربية تم تدريبه على بيانات مخصّصة.

Downloads last month
11
Safetensors
Model size
0.2B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for TheMohanad1/marbert-arabic-sentiment-analyzer

Finetuned
(42)
this model

Space using TheMohanad1/marbert-arabic-sentiment-analyzer 1