Instructions to use google/tapas-large-finetuned-wikisql-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-large-finetuned-wikisql-supervised with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="google/tapas-large-finetuned-wikisql-supervised")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-large-finetuned-wikisql-supervised") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-large-finetuned-wikisql-supervised", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd4e53c9b3789cd6a24b376bd9955aca22a2e7bee3afe6b9baf3d156f7d24afb
- Size of remote file:
- 1.35 GB
- SHA256:
- 929fda3f2fdcc7ca0f94b0ac9925f9681912e6c2b14c0b06b05f03ff42d2a209
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