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suayptalha
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MoE-Router-v2

Text Classification
Transformers
Safetensors
distilbert
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="suayptalha/MoE-Router-v2")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("suayptalha/MoE-Router-v2")
model = AutoModelForSequenceClassification.from_pretrained("suayptalha/MoE-Router-v2")
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labels = ['code', 'if', 'math', 'medical']

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Model size
67M params
Tensor type
F32
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