Instructions to use google/tapas-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="google/tapas-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/tapas-base") model = AutoModel.from_pretrained("google/tapas-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4c6ec16f46b6ea3683bea0cabbe0e96a56d4b6169b4a5782a56c5ec515fafd8
- Size of remote file:
- 443 MB
- SHA256:
- d24a91abe5366e0b403041c08b49873fc67417be5d2cf9c36326d299f83b68d4
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