microsoft
/

tapex-large-finetuned-tabfact

Table Question Answering

text-classification

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Qian Liu commited on Mar 1, 2022

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b508ebb

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1 Parent(s): c4bedc1

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@@ -29,8 +29,8 @@ Here is how to use this model in transformers:
 from transformers import TapexTokenizer, BartForSequenceClassification
 import pandas as pd
-tokenizer = TapexTokenizer.from_pretrained("microsoft/tapex-base-finetuned-tabfact")
-model = BartForSequenceClassification.from_pretrained("microsoft/tapex-base-finetuned-tabfact")
 data = {
     "year": [1896, 1900, 1904, 2004, 2008, 2012],

 from transformers import TapexTokenizer, BartForSequenceClassification
 import pandas as pd
+tokenizer = TapexTokenizer.from_pretrained("microsoft/tapex-large-finetuned-tabfact")
+model = BartForSequenceClassification.from_pretrained("microsoft/tapex-large-finetuned-tabfact")
 data = {
     "year": [1896, 1900, 1904, 2004, 2008, 2012],