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plaguss
/
test_model

Text Classification
PyTorch
Transformers
English
Transformers
bert
nlp
argilla
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use plaguss/test_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="plaguss/test_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("plaguss/test_model")
    model = AutoModelForSequenceClassification.from_pretrained("plaguss/test_model")
  • Notebooks
  • Google Colab
  • Kaggle
test_model
434 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
plaguss's picture
plaguss
Upload README.md with huggingface_hub
40ae725 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    4.41 kB
    Upload README.md with huggingface_hub over 2 years ago
  • added_tokens.json
    82 Bytes
    Upload tokenizer over 2 years ago
  • config.json
    794 Bytes
    Upload BertForSequenceClassification over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    433 MB
    xet
    Upload BertForSequenceClassification over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    669 kB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.28 kB
    Upload tokenizer over 2 years ago
  • vocab.txt
    213 kB
    Upload tokenizer over 2 years ago