Instructions to use google/tapas-base-finetuned-sqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-base-finetuned-sqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-base-finetuned-sqa")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-base-finetuned-sqa") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-base-finetuned-sqa") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aabe5782ef5035334bb922e0522e893ecd4ac6aaa9f4b678fbf6647156c9223e
- Size of remote file:
- 443 MB
- SHA256:
- e41c4ffa082df9109be90e55c0d95b606a3ecb8801a73d31e5c4c81e60875643
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