manifesto-project
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manifestoberta-xlm-roberta-56policy-topics-sentence-2023-1-1

Text Classification

Inference Endpoints

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tburst commited on Oct 18, 2023

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0b85278

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1 Parent(s): 39d5c00

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@@ -26,7 +26,7 @@ It works for all languages the xlm-roberta model is pretrained on ([overview](ht
 ```python
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
-model = AutoModelForSequenceClassification.from_pretrained("manifesto-project/xlm-roberta-political-56topics-sentence-2023a")
 tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large")
 sentence = "We will restore funding to the Global Environment Facility and the Intergovernmental Panel on Climate Change, to support critical climate science research around the world"

 ```python
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
+model = AutoModelForSequenceClassification.from_pretrained("manifesto-project/manifestoberta-xlm-roberta-56policy-topics-sentence-2023-1")
 tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large")
 sentence = "We will restore funding to the Global Environment Facility and the Intergovernmental Panel on Climate Change, to support critical climate science research around the world"