Instructions to use Meena/table-question-answering-tapas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Meena/table-question-answering-tapas with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="Meena/table-question-answering-tapas")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Meena/table-question-answering-tapas") model = AutoModelForTableQuestionAnswering.from_pretrained("Meena/table-question-answering-tapas", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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# TABLE QUESTION ANSWERING
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## TAPAS model
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---
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language:
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- en
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tags:
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- question-answering
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license: apache-2.0
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datasets:
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- sqa
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metrics:
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- bleu
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---
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# TABLE QUESTION ANSWERING
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## TAPAS model
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