microsoft
/

tapex-large

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text2text-generation

Inference Endpoints

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Qian Liu commited on Mar 10, 2022

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08b6fcc

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1 Parent(s): 015428a

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@@ -27,8 +27,8 @@ 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")
-model = BartForConditionalGeneration.from_pretrained("microsoft/tapex-base")
 data = {
     "year": [1896, 1900, 1904, 2004, 2008, 2012],

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