Instructions to use google/tapas-medium-finetuned-sqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-medium-finetuned-sqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-medium-finetuned-sqa")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-medium-finetuned-sqa") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-medium-finetuned-sqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d625e2deab119e8df27c427e55e4792025f2e354fa2e84598a6ff631cb380514
- Size of remote file:
- 168 MB
- SHA256:
- 827c0144ca557bfa8d76ef9ef98d618d43adad02453e984fe49d26a1cee152b0
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