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pere
/
robertabasescandi

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

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

  • Libraries
  • Transformers

    How to use pere/robertabasescandi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="pere/robertabasescandi")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("pere/robertabasescandi")
    model = AutoModelForMaskedLM.from_pretrained("pere/robertabasescandi")
  • Notebooks
  • Google Colab
  • Kaggle
robertabasescandi
1.12 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 95 commits
pere's picture
pere
Saving weights and logs of step 951
4c3087d over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    28 Bytes
    initial commit over 3 years ago
  • config.json
    704 Bytes
    test over 3 years ago
  • events.out.tfevents.1672845821.t1v-n-0853dee6-w-3.984499.0.v2
    144 kB
    xet
    Saving weights and logs of step 951 over 3 years ago
  • flax_model.msgpack
    1.11 GB
    xet
    Saving weights and logs of step 951 over 3 years ago
  • run.sh
    681 Bytes
    test over 3 years ago
  • run_mlm_flax_stream.py
    28.4 kB
    test over 3 years ago
  • tokenizer.json
    9.1 MB
    test over 3 years ago