Instructions to use google/tapas-base-finetuned-wtq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-base-finetuned-wtq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-base-finetuned-wtq")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-base-finetuned-wtq") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-base-finetuned-wtq") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 166d5f3c17aad73b80f85337ace5d826c92a8c4f28d10042e98aa1f8a005bf52
- Size of remote file:
- 443 MB
- SHA256:
- 2062cd99b44d4c0cf361fa1ab56c0c147b1cb687c23f369dae9474d72f451f70
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