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
Update README.md
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README.md
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mlm_pipeline = pipeline("fill-mask", model="boltuix/NeuroBERT-Mini")
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# Try a sentence
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result = mlm_pipeline("The
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print(result[0]["sequence"])
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```
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## 💡 Sample Outputs
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```python
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Input:
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✨ →
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✨ → the device can function quickly.
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Input: Please [MASK] the door before leaving.
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mlm_pipeline = pipeline("fill-mask", model="boltuix/NeuroBERT-Mini")
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# Try a sentence
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result = mlm_pipeline("The team won the [MASK] last night.")
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print(result[0]["sequence"])
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```
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## 💡 Sample Outputs
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```python
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Input: She is a [MASK] at the local hospital.
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✨ → She is a nurse at the local hospital.
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✨ → the device can function quickly.
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Input: Please [MASK] the door before leaving.
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