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principled-intelligence
/
scope-guard

Text Classification
Transformers
Safetensors
qwen3
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="principled-intelligence/scope-guard")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("principled-intelligence/scope-guard")
model = AutoModelForSequenceClassification.from_pretrained("principled-intelligence/scope-guard")
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This is just an HF Pipeline for the following models:

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Model size
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Tensor type
BF16
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