Instructions to use google/tapas-medium-finetuned-wikisql-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-medium-finetuned-wikisql-supervised with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-medium-finetuned-wikisql-supervised")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-medium-finetuned-wikisql-supervised") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-medium-finetuned-wikisql-supervised") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ad0126c42a4ecc5c6fdb9d6509d83a8bd9569cfb1348c5d3b1aac8ab300eba2
- Size of remote file:
- 168 MB
- SHA256:
- dee810efce5715d36edc9408a091ed7a853f623dbb2dffde9d9f165d45055fca
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