Zhengbao Jiang commited on
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updated readme

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  1. README.md +2 -2
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@@ -13,7 +13,7 @@ OmniTab is a table-based QA model proposed in [OmniTab: Pretraining with Natural
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  ## Description
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- `neulab/omnitab-large-finetuned-wtq` (based on BART architecture) is initialized with `microsoft/tapex-large`, continuously pretrained on natural and synthetic data, and fine-tuned on [WikiTableQuestions](https://huggingface.co/datasets/wikitablequestions).
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  ## Usage
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@@ -49,4 +49,4 @@ print(tokenizer.batch_decode(outputs, skip_special_tokens=True))
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  month = jul,
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  year = "2022",
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  }
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- ```
 
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  ## Description
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+ `neulab/omnitab-large-finetuned-wtq` (based on BART architecture) is initialized with `neulab/omnitab-large` and fine-tuned on [WikiTableQuestions](https://huggingface.co/datasets/wikitablequestions).
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  ## Usage
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  month = jul,
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  year = "2022",
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  }
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+ ```