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:
- 9d4235f7b3b9b3fa69d9670cbef2ddf84dce097eeb99f9583ea1340da8c37189
- Size of remote file:
- 443 MB
- SHA256:
- 71dfd87c922f974ca597170e7ace4938076aaa68764b59e79651eee4571284ac
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