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versae
/
roberta-base-scand-xlm

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

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

  • Libraries
  • Transformers

    How to use versae/roberta-base-scand-xlm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="versae/roberta-base-scand-xlm")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("versae/roberta-base-scand-xlm")
    model = AutoModelForMaskedLM.from_pretrained("versae/roberta-base-scand-xlm")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-scand-xlm
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 76 commits
versae's picture
versae
Saving weights and logs of step 7001
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  • .gitattributes
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  • README.md
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  • config.json
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  • create_config.py
    270 Bytes
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  • create_pytorch.py
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  • events.out.tfevents.1667811514.t1v-n-85d17cd2-w-0.3678368.0.v2
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    xet
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  • flax_model.msgpack
    1.11 GB
    xet
    Saving weights and logs of step 7001 over 3 years ago
  • run.sh
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  • run_mlm_flax.py
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  • run_mlm_flax_stream.py
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  • sentencepiece.bpe.model
    5.07 MB
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  • special_tokens_map.json
    279 Bytes
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  • tokenizer_config.json
    476 Bytes
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