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curious008
/
BertForStorySkillClassification

Text Classification
Transformers
PyTorch
English
bert
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use curious008/BertForStorySkillClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use curious008/BertForStorySkillClassification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="curious008/BertForStorySkillClassification", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("curious008/BertForStorySkillClassification", trust_remote_code=True)
    model = AutoModelForSequenceClassification.from_pretrained("curious008/BertForStorySkillClassification", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
BertForStorySkillClassification
438 MB
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  • 2 contributors
History: 6 commits
k999fff's picture
k999fff
update readme.md, add context
f9979bb about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    3.63 kB
    update readme.md, add context about 1 year ago
  • added_tokens.json
    21 Bytes
    Add new file about 1 year ago
  • config.json
    1.2 kB
    Add new file about 1 year ago
  • modeling_bert_classifier.py
    3.48 kB
    Add new file about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    add context encoder about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Add new file about 1 year ago
  • tokenizer_config.json
    434 Bytes
    Add new file about 1 year ago
  • vocab.txt
    232 kB
    Add new file about 1 year ago