Instructions to use google/tapas-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="google/tapas-mini")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/tapas-mini") model = AutoModel.from_pretrained("google/tapas-mini") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64079f7e2197c17587af0c367631d5f445e8d30d23cc59924ef81d053f4eab52
- Size of remote file:
- 45.9 MB
- SHA256:
- e5369c0c8ec492eb778b9a08d6bc09b53a725e2504cfa145fe4970f0f1a37364
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