Instructions to use google/tapas-medium-finetuned-wtq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-medium-finetuned-wtq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-medium-finetuned-wtq")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-medium-finetuned-wtq") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-medium-finetuned-wtq") - Notebooks
- Google Colab
- Kaggle
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- table-question-answering
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license: apache-2.0
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datasets:
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# TAPAS medium model fine-tuned on WikiTable Questions (WTQ)
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- table-question-answering
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license: apache-2.0
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datasets:
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# TAPAS medium model fine-tuned on WikiTable Questions (WTQ)
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