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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08f2aa045f3bf61a183ead5c14150815b2cbf6d73cce55c63c482db62c704bf5
- Size of remote file:
- 443 MB
- SHA256:
- 41757c5daa90eac036fb090ee033c468412cdbc77d2348071b1ca1af43b56bb7
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