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:
- 70f8852d158716474482d9bb29637567c33d54ef10930ad32bb3ad234de9b55e
- Size of remote file:
- 168 MB
- SHA256:
- e0baa9835d4127c6f5d9b2646431fb24922007e2f4f7b36a2f47c553d966f39e
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