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nb-bert-base-mnli

Zero-Shot Classification Transformers PyTorch JAX Safetensors
Norwegian bert text-classification nb-bert tensorflow norwegian Inference Endpoints
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@@ -37,7 +37,7 @@ When the model is finetuned on the 400k large MNLI task, it is in many cases abl
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  The easiest way to try this out is by using the Hugging Face pipeline. Please, note that you will get better results when using Norwegian hypothesis template instead of the default English one.
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  ```python
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  from transformers import pipeline
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- classifier = pipeline("zero-shot-classification", model="NBAiLab/nb-bert-base-mnli")
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  ```
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  You can then use this pipeline to classify sequences into any of the class names you specify.
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  ```python
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  The easiest way to try this out is by using the Hugging Face pipeline. Please, note that you will get better results when using Norwegian hypothesis template instead of the default English one.
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  ```python
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  from transformers import pipeline
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+ classifier = pipeline("zero-shot-classification", model="NbAiLab/nb-bert-base-mnli")
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  ```
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  You can then use this pipeline to classify sequences into any of the class names you specify.
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  ```python