Instructions to use Meena/table-question-answering-tapas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Meena/table-question-answering-tapas with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="Meena/table-question-answering-tapas")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Meena/table-question-answering-tapas") model = AutoModelForTableQuestionAnswering.from_pretrained("Meena/table-question-answering-tapas", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Meena/table-question-answering-tapas: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/Meena/table-question-answering-tapas/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Meena/table-question-answering-tapas/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Meena/table-question-answering-tapas/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- c92ed3c2224b2460492e0fa44c55ce5e406b96b5c19cfee9135713e1653a258c
- Size of remote file:
- 443 MB
- SHA256:
- 6c913e68121e5d137d5a356154c5f016ce6835d153a452d49c241e97a2b7b267
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