Instructions to use lysandre/tiny-tapas-random-sqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/tiny-tapas-random-sqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="lysandre/tiny-tapas-random-sqa")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("lysandre/tiny-tapas-random-sqa") model = AutoModelForTableQuestionAnswering.from_pretrained("lysandre/tiny-tapas-random-sqa") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("lysandre/tiny-tapas-random-sqa")
model = AutoModelForTableQuestionAnswering.from_pretrained("lysandre/tiny-tapas-random-sqa")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="lysandre/tiny-tapas-random-sqa")