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versae
/
roberta-base-ncc

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

Instructions to use versae/roberta-base-ncc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use versae/roberta-base-ncc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="versae/roberta-base-ncc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("versae/roberta-base-ncc")
    model = AutoModelForMaskedLM.from_pretrained("versae/roberta-base-ncc")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-ncc
521 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 133 commits
versae's picture
versae
Saving weights and logs of step 129000
5d5e9e1 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • .gitignore
    1.83 kB
    Adding wandb over 4 years ago
  • config.json
    649 Bytes
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  • events.out.tfevents.1642203685.t1v-n-eedfb410-w-0.10537.0.v2
    19.2 MB
    xet
    Saving weights and logs of step 129000 over 4 years ago
  • events.out.tfevents.1642204242.t1v-n-eedfb410-w-0.profile-empty
    40 Bytes
    xet
    Saving weights and logs of step 1000 over 4 years ago
  • flax_model.msgpack
    499 MB
    xet
    Saving weights and logs of step 129000 over 4 years ago
  • merges.txt
    476 kB
    Saving weights and logs of step 5000 over 4 years ago
  • run_mlm_flax.py
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    Saving weights and logs of step 1000 over 4 years ago
  • special_tokens_map.json
    239 Bytes
    Saving weights and logs of step 5000 over 4 years ago
  • tokenizer.json
    2.15 MB
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  • tokenizer_config.json
    335 Bytes
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  • train.128.sh
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    Saving weights and logs of step 1000 over 4 years ago
  • vocab.json
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