Instructions to use google/fnet-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/fnet-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/fnet-large") model = AutoModelForPreTraining.from_pretrained("google/fnet-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a67115e0e6b2fbf4ec56bf0a29f695a4ffa448fb14dfd1fcc5e394addc5919fd
- Size of remote file:
- 952 MB
- SHA256:
- de3a502c439c17212e7f820adc9025cea36c37cbcce51ea70131d64cfdc28ed4
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