Instructions to use google/tapas-medium-finetuned-wtq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-medium-finetuned-wtq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-medium-finetuned-wtq")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-medium-finetuned-wtq") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-medium-finetuned-wtq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2eae35a7f37d6919e1e46b3adffcb8c289d5e53582a50ecdb307e148405d8336
- Size of remote file:
- 168 MB
- SHA256:
- 235fa9be12ecee5f38a0f888fdb6b52772132750b6ba862b13b3708651c480f4
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