# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("suayptalha/MoE-Router")
model = AutoModelForSequenceClassification.from_pretrained("suayptalha/MoE-Router", device_map="auto")Quick Links
labels = ['code', 'if', 'math', 'medical']
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Base model
distilbert/distilbert-base-uncased
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="suayptalha/MoE-Router")