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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2ee66c25d852d737b7e694a44b423517d2a5f3686c60afe6f038ffc31b79e8d
- Size of remote file:
- 443 MB
- SHA256:
- f8209f39f50f28714aab0e0395999f173f3c55fbe3397105e2a297ac32a96640
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