Instructions to use google/tapas-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/tapas-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="google/tapas-tiny")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/tapas-tiny") model = AutoModel.from_pretrained("google/tapas-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5147ae138633395c10d8de9b585a73f01438d710fbb21fbd13b8f3ef0371557
- Size of remote file:
- 18.1 MB
- SHA256:
- 1c709bbe612972b6b3a24afb95a56612accc620c60248ce1d358f53871c1d38c
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