Zero-Shot Classification
Transformers
PyTorch
Safetensors
bert
text-classification
Inference Endpoints
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Update README.md

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@@ -11,7 +11,7 @@ datasets:
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  - KBLab/overlim
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  - MoritzLaurer/multilingual-NLI-26lang-2mil7
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  model-index:
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- - name: nb-bert-large-nli-scandi
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  results: []
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  widget:
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  - example_title: Danish
@@ -49,7 +49,7 @@ You can use this model in your scripts as follows:
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  >>> from transformers import pipeline
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  >>> classifier = pipeline(
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  ... "zero-shot-classification",
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- ... model="alexandrainst/nb-bert-large-nli-scandi",
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  ... )
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  >>> classifier(
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  ... "Mexicansk bokser advarer Messi - 'Du skal bede til gud, om at jeg ikke finder dig'",
 
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  - KBLab/overlim
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  - MoritzLaurer/multilingual-NLI-26lang-2mil7
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  model-index:
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+ - name: scandi-nli-large
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  results: []
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  widget:
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  - example_title: Danish
 
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  >>> from transformers import pipeline
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  >>> classifier = pipeline(
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  ... "zero-shot-classification",
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+ ... model="alexandrainst/scandi-nli-large",
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  ... )
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  >>> classifier(
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  ... "Mexicansk bokser advarer Messi - 'Du skal bede til gud, om at jeg ikke finder dig'",