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NbAiLabArchive
/
test_NCC_OSCAR_16w_noada

Fill-Mask
Transformers
roberta
Model card Files Files and versions
xet
Community

Instructions to use NbAiLabArchive/test_NCC_OSCAR_16w_noada with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NbAiLabArchive/test_NCC_OSCAR_16w_noada with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="NbAiLabArchive/test_NCC_OSCAR_16w_noada")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("NbAiLabArchive/test_NCC_OSCAR_16w_noada")
    model = AutoModelForMaskedLM.from_pretrained("NbAiLabArchive/test_NCC_OSCAR_16w_noada")
  • Notebooks
  • Google Colab
  • Kaggle
test_NCC_OSCAR_16w_noada
1.46 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
pere's picture
pere
deleted model
c194a24 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    49 Bytes
    first submit over 4 years ago
  • config.json
    702 Bytes
    first submit over 4 years ago
  • create_config.py
    163 Bytes
    first submit over 4 years ago
  • generate_pytorch_model.py
    256 Bytes
    first submit over 4 years ago
  • run_flax.sh
    593 Bytes
    first submit over 4 years ago
  • run_flax_16w_noada.sh
    611 Bytes
    first submit over 4 years ago
  • run_flax_stream.sh
    639 Bytes
    first submit over 4 years ago
  • run_flax_stream_100.sh
    643 Bytes
    first submit over 4 years ago
  • run_mlm_flax.py
    29.6 kB
    first submit over 4 years ago
  • run_mlm_flax_stream.py
    26.8 kB
    first submit over 4 years ago
  • run_pytorch.sh
    640 Bytes
    first submit over 4 years ago
  • tokenizer.json
    1.39 MB
    first submit over 4 years ago
  • train_tokenizer.py
    820 Bytes
    first submit over 4 years ago