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Initial README
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---
license: mit
---
### Trained Using Sentence-Transformers
#### Usage
```
sentence = "During its monthly call, the National Oceanic and Atmospheric Administration warned of increased temperatures and low precipitation"
labels = ["Computer", "Climate Change", "Tablet", "Football", "Artificial Intelligence", "Global Warming"]
scores = model.predict([[sentence, l] for l in labels])
print(scores)
#array([0.04118565, 0.2435827 , 0.03941465, 0.00203637, 0.00501176, 0.1423797], dtype=float32)
```