Instructions to use google/tapas-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="google/tapas-small")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/tapas-small") model = AutoModel.from_pretrained("google/tapas-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31f864988567bf42e08e40dd6a28a08a0ad6e4fe27236067fde6960180876441
- Size of remote file:
- 117 MB
- SHA256:
- 36c7b26c75e6094eb492ba1a95bf2667dcfb44763457295516f8c56c09d22efa
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