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:
- 6458c44d3a31797c15c1270175b76f3343d5c7beb1ba7883102179cba71b9827
- Size of remote file:
- 168 MB
- SHA256:
- de8ebc4cd56ddc5d18f83178872c7b41bfc945c3273cedb1335e1f1e4e30e83a
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