Instructions to use google/tapas-tiny-finetuned-sqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-tiny-finetuned-sqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-tiny-finetuned-sqa", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-tiny-finetuned-sqa") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-tiny-finetuned-sqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 807b4911822bc0ba5cb965ef422ccf2b10f61f27cd2d3e4019b9bc51314b1351
- Size of remote file:
- 18.1 MB
- SHA256:
- 6c229fdfed44e4516f1b109d5f06014d5b58ee4a66ab7607c7c6964cd5488f19
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