Instructions to use andkelly21/yummy-tapas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andkelly21/yummy-tapas with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="andkelly21/yummy-tapas")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("andkelly21/yummy-tapas") model = AutoModelForTableQuestionAnswering.from_pretrained("andkelly21/yummy-tapas", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from andkelly21/yummy-tapas: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/andkelly21/yummy-tapas/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://andkelly21/yummy-tapas/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/andkelly21/yummy-tapas/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- f0c070209f04ae7e724b85ac15c8f04e25335e2444e4f0a2e040ad56d01b6ec5
- Size of remote file:
- 443 MB
- SHA256:
- e5ca08d7a1bd246764aa667c12c44dc1ccfd1a50b63b8646559181e471b7dcad
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