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
Commit History
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Updates incorrect tokenizer configuration file (#1)
Verified signature- Adds tokenizer_config.json file (65c6200ddeb500abcd446e15d0536c0bd3e9840a)d89b6fa
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Update tokenizer_config.json
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Update tokenizer_config.json
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Update tokenizer_config.json
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upload tokenizer to handle mask token
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Add model files
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