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Jodsa
/
camembert_clf

Text Classification
Transformers
PyTorch
camembert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Jodsa/camembert_clf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Jodsa/camembert_clf")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Jodsa/camembert_clf")
    model = AutoModelForSequenceClassification.from_pretrained("Jodsa/camembert_clf")
  • Notebooks
  • Google Colab
  • Kaggle
camembert_clf
451 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Jo-dsa
commit from jojo
98baf3d almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • added_tokens.json
    35.2 kB
    commit from jojo almost 5 years ago
  • config.json
    1.67 kB
    commit from jojo almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    448 MB
    xet
    commit from jojo almost 5 years ago
  • sentencepiece.bpe.model
    811 kB
    xet
    commit from jojo almost 5 years ago
  • special_tokens_map.json
    299 Bytes
    commit from jojo almost 5 years ago
  • tokenizer.json
    1.67 MB
    commit from jojo almost 5 years ago
  • tokenizer_config.json
    419 Bytes
    commit from jojo almost 5 years ago