Instructions to use google/tapas-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="google/tapas-medium")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/tapas-medium") model = AutoModel.from_pretrained("google/tapas-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a03ceca969669a7f51138d25c8b11dfaa07eda081f52dfae19309f39720eeb1
- Size of remote file:
- 168 MB
- SHA256:
- d99ffcd8fee20794f1c3c050c1d929a67d5c0ae356cddc7d2fd13e6a15242b60
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