Instructions to use google/tapas-large-finetuned-sqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-large-finetuned-sqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-large-finetuned-sqa")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-large-finetuned-sqa") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-large-finetuned-sqa", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download .gitattributes from google/tapas-large-finetuned-sqa: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
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https://huggingface.co/google/tapas-large-finetuned-sqa/resolve/main/.gitattributes
- Command line
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hf download hf://google/tapas-large-finetuned-sqa/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/google/tapas-large-finetuned-sqa/resolve/main/.gitattributes
345 Bytes
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