MoritzLaurer
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DeBERTa-v3-base-mnli-fever-docnli-ling-2c

Text Classification Transformers PyTorch Safetensors English deberta-v2 zero-shot-classification Inference Endpoints 4 papers

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MoritzLaurer HF staff commited on Sep 25, 2022

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@@ -27,7 +27,7 @@ For highest performance (but less speed), I recommend using https://huggingface.
 ```python
 from transformers import pipeline
 classifier = pipeline("zero-shot-classification", model="MoritzLaurer/DeBERTa-v3-base-mnli-fever-docnli-ling-2c")
-sequence_to_classify = "Angela Merkel is a politician in Germany and leader of the CDU ist eine Politikerin in Deutschland und Vorsitzende der CDU"
 candidate_labels = ["politics", "economy", "entertainment", "environment"]
 output = classifier(sequence_to_classify, candidate_labels, multi_label=False)
 print(output)

 ```python
 from transformers import pipeline
 classifier = pipeline("zero-shot-classification", model="MoritzLaurer/DeBERTa-v3-base-mnli-fever-docnli-ling-2c")
+sequence_to_classify = "Angela Merkel is a politician in Germany and leader of the CDU"
 candidate_labels = ["politics", "economy", "entertainment", "environment"]
 output = classifier(sequence_to_classify, candidate_labels, multi_label=False)
 print(output)