Text Classification
Transformers
Safetensors
English
bert
fill-mask
BERT
NeuroBERT
transformer
pre-training
nlp
tiny-bert
edge-ai
low-resource
micro-nlp
quantized
iot
wearable-ai
offline-assistant
intent-detection
real-time
smart-home
embedded-systems
command-classification
toy-robotics
voice-ai
eco-ai
english
lightweight
mobile-nlp
ner
text-embeddings-inference
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README.md
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@@ -152,7 +152,7 @@ model = AutoModelForSequenceClassification.from_pretrained(model_name)
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model.eval()
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# 🧪 Example input
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text = "Turn
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# ✂️ Tokenize the input
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inputs = tokenizer(text, return_tensors="pt")
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model.eval()
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# 🧪 Example input
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text = "Turn off the AC"
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# ✂️ Tokenize the input
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inputs = tokenizer(text, return_tensors="pt")
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