Instructions to use Ade26/tapas_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ade26/tapas_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="Ade26/tapas_test")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Ade26/tapas_test") model = AutoModelForTableQuestionAnswering.from_pretrained("Ade26/tapas_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 705e2a5988cbd27a8b11a5a500a82515ee82944553980669a2b8bf514819cc0c
- Size of remote file:
- 443 MB
- SHA256:
- 5ab8708ee6ab7e6e6fe8ed151cd3d056054fb58f8d38469bdba4d172b23aa147
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