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
Commit History
Upload TF model 81916d2
TF model weights bcb8119
Update README 216b894
Make results header smaller 6a0f63d
Make results header smaller 5d8ba8b
Fix another typo 71b4517
Fix typo eddb779
Update results table d376c0e
Add results table a0c6ebb
Fix name of SQA dataset 2e5da5c
Add first draft of model card 4e134dd
First commit 16c21ce
Rogge Niels commited on