Instructions to use google/tapas-base-finetuned-wtq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-base-finetuned-wtq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-base-finetuned-wtq")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-base-finetuned-wtq") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-base-finetuned-wtq", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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Remove question-answering tag
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Upload TF model
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TF model weights
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Add 2 parameters for pipeline
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First draft of model card
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First commit
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initial commit
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