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NbAiLabArchive
/
test_NCC_small_flax

Fill-Mask
Transformers
JAX
TensorBoard
roberta
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use NbAiLabArchive/test_NCC_small_flax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NbAiLabArchive/test_NCC_small_flax with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="NbAiLabArchive/test_NCC_small_flax")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("NbAiLabArchive/test_NCC_small_flax")
    model = AutoModelForMaskedLM.from_pretrained("NbAiLabArchive/test_NCC_small_flax")
  • Notebooks
  • Google Colab
  • Kaggle
test_NCC_small_flax
501 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
pere's picture
pere
Saving weights and logs of step 40000
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  • README.md
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  • config.json
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    Saving weights and logs of step 40000 over 4 years ago
  • flax_model.msgpack
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    xet
    Saving weights and logs of step 40000 over 4 years ago
  • generate_pytorch_model.py
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  • run_flax.sh
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  • run_mlm_flax.py
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  • run_mlm_flax_stream.py
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  • run_pytorch.sh
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  • tokenizer.json
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  • train_tokenizer.py
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