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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccb42e3686cb43b0383db5c090951014e1839c1d560edb4acac6d9737a714cfd
- Size of remote file:
- 334 MB
- SHA256:
- aa67e53d567761a716d70521d492653ba05912fcae70de6eacd26ba8fb77d91a
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