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
Update README.md
Browse files
README.md
CHANGED
|
@@ -132,7 +132,6 @@ for sentence in masked_sentences:
|
|
| 132 |
predictions = mlm_pipeline(sentence)
|
| 133 |
for pred in predictions[:3]:
|
| 134 |
print(f"✨ → {pred['sequence']} (score: {pred['score']:.4f})")
|
| 135 |
-
|
| 136 |
```
|
| 137 |
|
| 138 |
---
|
|
|
|
| 132 |
predictions = mlm_pipeline(sentence)
|
| 133 |
for pred in predictions[:3]:
|
| 134 |
print(f"✨ → {pred['sequence']} (score: {pred['score']:.4f})")
|
|
|
|
| 135 |
```
|
| 136 |
|
| 137 |
---
|