Instructions to use google/tapas-base-finetuned-sqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-base-finetuned-sqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-base-finetuned-sqa")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-base-finetuned-sqa") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-base-finetuned-sqa", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
TF model weights
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:f87be208179f5fd9ef766fd8a50e26977307640880136b54431a1f0fba6bf612
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size 442980576
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