Instructions to use microsoft/tapex-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/tapex-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="microsoft/tapex-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("microsoft/tapex-large") model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/tapex-large") - Notebooks
- Google Colab
- Kaggle
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Update README.md
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README.md
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### How to Fine-tuning
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Please find the fine-tuning script [here](https://github.com/
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### BibTeX entry and citation info
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### How to Fine-tuning
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Please find the fine-tuning script [here](https://github.com/huggingface/transformers/tree/main/examples/research_projects/tapex).
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### BibTeX entry and citation info
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