microsoft
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tapex-large-finetuned-wikisql

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text2text-generation

Inference Endpoints

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Qian Liu commited on Mar 10, 2022

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6796650

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1 Parent(s): ff0cf4b

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@@ -38,8 +38,8 @@ Here is how to use this model in transformers:
 from transformers import TapexTokenizer, BartForConditionalGeneration
 import pandas as pd
-tokenizer = TapexTokenizer.from_pretrained("microsoft/tapex-base-finetuned-wikisql")
-model = BartForConditionalGeneration.from_pretrained("microsoft/tapex-base-finetuned-wikisql")
 data = {
     "year": [1896, 1900, 1904, 2004, 2008, 2012],

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