Instructions to use google/tapas-medium-finetuned-wikisql-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-medium-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-medium-finetuned-wikisql-supervised")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/tapas-medium-finetuned-wikisql-supervised") model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-medium-finetuned-wikisql-supervised", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from google/tapas-medium-finetuned-wikisql-supervised: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/google/tapas-medium-finetuned-wikisql-supervised/resolve/main/tf_model.h5
- Command line
-
hf download hf://google/tapas-medium-finetuned-wikisql-supervised/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/google/tapas-medium-finetuned-wikisql-supervised/resolve/main/tf_model.h5
168 MB
- Xet hash:
- af9ad5e8f349d6af2277c9bf406c10621d81daf55e9d931ce7315d8c9cc38416
- Size of remote file:
- 168 MB
- SHA256:
- f1dd54b4b4e7a95c1ead364bd1386946963e5ea026f2eafe06963a3b5fb7d8e2
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