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")# 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
- Xet hash:
- f0c070209f04ae7e724b85ac15c8f04e25335e2444e4f0a2e040ad56d01b6ec5
- Size of remote file:
- 443 MB
- SHA256:
- e5ca08d7a1bd246764aa667c12c44dc1ccfd1a50b63b8646559181e471b7dcad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.