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google
/
fnet-base

Transformers
PyTorch
Rust
English
fnet
pretraining
Model card Files Files and versions
xet
Community
2

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
fnet-base
336 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 43 commits
gchhablani's picture
gchhablani
Update README.md
ea22331 over 4 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • README.md
    12.6 kB
    Update README.md over 4 years ago
  • config.json
    556 Bytes
    Update config.json almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    334 MB
    xet
    Add model files almost 5 years ago
  • special_tokens_map.json
    201 Bytes
    update all tok over 4 years ago
  • spiece.model
    708 kB
    xet
    Add model files almost 5 years ago
  • tokenizer.json
    1.12 MB
    update all tok over 4 years ago
  • tokenizer_config.json
    430 Bytes
    Update tokenizer_config.json over 4 years ago