Instructions to use google/tapas-base-finetuned-wikisql-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-base-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-base-finetuned-wikisql-supervised")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-base-finetuned-wikisql-supervised") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-base-finetuned-wikisql-supervised", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/tapas-base-finetuned-wikisql-supervised: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/google/tapas-base-finetuned-wikisql-supervised/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/tapas-base-finetuned-wikisql-supervised/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/tapas-base-finetuned-wikisql-supervised/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 74ca788c49121ff328135b6da8542ad343144852af35727ba41166e57e94f244
- Size of remote file:
- 443 MB
- SHA256:
- 3a68908c101becb2b8c05d9807067c0b1085f33434880a63d19545dbc25b5f0b
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