Text Classification
Transformers
Safetensors
English
bert
fill-mask
BERT
transformer
nlp
bert-lite
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
on-device-nlp
privacy-first
cpu-inference
speech-intent
offline-nlp
tiny-bert
bert-variant
efficient-nlp
edge-ml
tiny-ml
aiot
embedded-nlp
low-latency
smart-devices
edge-inference
ml-on-microcontrollers
android-nlp
offline-chatbot
esp32-nlp
tflite-compatible
text-embeddings-inference
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print(f"✨ → {pred['sequence']} (score: {pred['score']:.4f})")
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Input: The robot can [MASK] the room in minutes.
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✨ → The robot can clean the room in minutes. (score: 0.3124)
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✨ → The robot can scan the room in minutes. (score: 0.1547)
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print(f"✨ → {pred['sequence']} (score: {pred['score']:.4f})")
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```python
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## 🔤 Masked Language Model (MLM) Demo
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Input: The robot can [MASK] the room in minutes.
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✨ → The robot can clean the room in minutes. (score: 0.3124)
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✨ → The robot can scan the room in minutes. (score: 0.1547)
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