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ffgcc
/
esimcse-bert-base-uncased

Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use ffgcc/esimcse-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ffgcc/esimcse-bert-base-uncased with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, BertForCL
    
    tokenizer = AutoTokenizer.from_pretrained("ffgcc/esimcse-bert-base-uncased")
    model = BertForCL.from_pretrained("ffgcc/esimcse-bert-base-uncased")
  • Notebooks
  • Google Colab
  • Kaggle
esimcse-bert-base-uncased
1.75 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
root
model
b46170e almost 4 years ago
  • .gitattributes
    1.38 kB
    initial commit almost 4 years ago
  • config.json
    636 Bytes
    model almost 4 years ago
  • eval_results.txt
    274 Bytes
    model almost 4 years ago
  • optimizer.pt

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    876 MB
    xet
    model almost 4 years ago
  • pytorch_model.bin
    878 MB
    xet
    model almost 4 years ago
  • scheduler.pt

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    623 Bytes
    xet
    model almost 4 years ago
  • special_tokens_map.json
    112 Bytes
    model almost 4 years ago
  • tokenizer_config.json
    252 Bytes
    model almost 4 years ago
  • train_results.txt
    70 Bytes
    model almost 4 years ago
  • trainer_state.json
    28.3 kB
    model almost 4 years ago
  • training_args.bin

    Detected Pickle imports (4)

    • "transformers.trainer_utils.EvaluationStrategy",
    • "__main__.OurTrainingArguments",
    • "transformers.trainer_utils.SchedulerType",
    • "torch.device"

    How to fix it?

    2.1 kB
    xet
    model almost 4 years ago
  • vocab.txt
    232 kB
    model almost 4 years ago