Instructions to use google/fnet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/fnet-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/fnet-base") model = AutoModelForPreTraining.from_pretrained("google/fnet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1d412bd8f36995e74a4f32deb8d1b7fa1d019b0db4d8c2d4a8b730d7e6de31a
- Size of remote file:
- 432 MB
- SHA256:
- 4250fdba9665beb27b66c310c479a5dc4640f2e33245ea1b8cded61673361519
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