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Hartunka
/
bert_base_rand_50_v2

Transformers
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Hartunka/bert_base_rand_50_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hartunka/bert_base_rand_50_v2 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, DistilBertForLDAMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Hartunka/bert_base_rand_50_v2")
    model = DistilBertForLDAMaskedLM.from_pretrained("Hartunka/bert_base_rand_50_v2")
  • Notebooks
  • Google Colab
  • Kaggle
bert_base_rand_50_v2
442 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits

This model has 1 file scanned as unsafe.

Hartunka's picture
Hartunka
End of training
2380763 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.07 kB
    End of training about 1 year ago
  • all_results.json
    484 Bytes
    End of training about 1 year ago
  • config.json
    504 Bytes
    Training in progress, step 10000 over 1 year ago
  • eval_results.json
    265 Bytes
    End of training about 1 year ago
  • model.safetensors
    441 MB
    xet
    Model save about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, step 10000 over 1 year ago
  • tokenizer.json
    711 kB
    Training in progress, step 10000 over 1 year ago
  • tokenizer_config.json
    1.23 kB
    Training in progress, step 10000 over 1 year ago
  • train_results.json
    240 Bytes
    End of training about 1 year ago
  • trainer_state.json
    22.8 kB
    End of training about 1 year ago
  • training_args.bin
    5.43 kB
    xet
    Training in progress, step 10000 over 1 year ago
  • vocab.txt
    232 kB
    Training in progress, step 10000 over 1 year ago