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Pippe/sentis-deberta-v3-zeroshot
sentis-deberta-v3-zeroshot is a zero-shot classification model from Pippe. Use it when you need labels you did not train the model on. It is set up for unity-sentis. The card lists the license as mit.
This is the DeBERTaV3 Model in the Sentis format to run on Unity 2023. The model can do one universal classification task: determine whether a hypothesis is "true" or "not true" given a text.
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.sentis302 MB · 100%
From the Hugging Face model README
This is the DeBERTaV3 Model in the Sentis format to run on Unity 2023. The model can do one universal classification task: determine whether a hypothesis is "true" or "not true" given a text.
There are more models of different sizes that are compatible made by MoritzLaurer
text = "Angela Merkel is a politician in Germany and leader of the CDU"
classes = ["This example is about politics", "This example is about economy", "This example is about entertainment", "This example is about environment"]
[politics] Entailment Score: 0.9998765
[economy] Entailment Score: 0.0008297313
[entertainment] Entailment Score: 4.86502E-05
[environment] Entailment Score: 6.163981E-05
Sentis is the inference engine for Unity. More can be found about it here