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# 🔥 Updates
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- [**2022-03-09**]: We have fixed the issue in `tapex-large`! Now you can view [here](#run-TAPEX-using-Huggingface) to see how to fine-tune TAPEX using 🤗 transformers and 🤗 datasets! They will be merged into the main library soon!
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- [**2022-03-09**]: We have fixed the issue in `tapex-large`! Now you can view [here](#-run-tapex-using-huggingface) to see how to fine-tune TAPEX using 🤗 transformers and 🤗 datasets! They will be merged into the main library soon!
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- [**2022-02-20**]: Our paper is accepted by ICLR 2022! We also provided a fine-tuning script based on 🤗 transformers, which is not merged now. You can see the preview version [here](https://github.com/SivilTaram/transformers/tree/add_tapex_bis/examples/research_projects/tapex). ⚠️ It is worth noting that `tapex-large` is not well-prepared now. We found there is a strange bug in `bart-large`, which also affects `tapex-large`. Hope it is solved in the near future.
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- [**2021-10-25**]: We released the code for Table Pre-training. You can [check it out](examples/pretrain) and try pre-training on your data!
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- [**2021-10-01**]: We released the code for TableFT and the fine-tuned model weights on TabFact!
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