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:
# pip install -U transformers accelerate # 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
Download tokenizer.json from google/fnet-base: direct link, hf CLI and curl.
- Browser
- Download file 1.12 MB
-
https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://google/fnet-base/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json
1.12 MB
File too large to display, you can check the raw version instead.