Instructions to use google/tapas-medium-finetuned-sqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-medium-finetuned-sqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-medium-finetuned-sqa")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-medium-finetuned-sqa") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-medium-finetuned-sqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4952a48b690b1ffbf1932d101901ee688ffc4ee929a23f8466c40fea195d24d5
- Size of remote file:
- 168 MB
- SHA256:
- 8e3680d73db4e750b9d80c07a5f158db77c76d9128d7e2b7c73e39fbbee8f423
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