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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22dec93de986a42ba1059fe67c4c46e08cb739c09f37270deedbe13dd20137b8
- Size of remote file:
- 168 MB
- SHA256:
- f2bb495b469b53a434d2129118255fbaf0eb4c09da2fed0ace31c2bdd2843237
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