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DemangeJeremy
/
4-sentiments-with-flaubert

Text Classification
Transformers
PyTorch
French
flaubert
sentiments
french
flaubert-large
Model card Files Files and versions
xet
Community
2

Instructions to use DemangeJeremy/4-sentiments-with-flaubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DemangeJeremy/4-sentiments-with-flaubert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="DemangeJeremy/4-sentiments-with-flaubert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("DemangeJeremy/4-sentiments-with-flaubert")
    model = AutoModelForSequenceClassification.from_pretrained("DemangeJeremy/4-sentiments-with-flaubert")
  • Notebooks
  • Google Colab
  • Kaggle
4-sentiments-with-flaubert
2.99 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 12 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
ffa5fea over 3 years ago
  • .gitattributes
    744 Bytes
    Adding `safetensors` variant of this model over 3 years ago
  • README.md
    1.36 kB
    Update README.md over 3 years ago
  • config.json
    1.81 kB
    Add model over 5 years ago
  • model.safetensors
    1.49 GB
    xet
    Adding `safetensors` variant of this model over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.49 GB
    xet
    Modifs over 5 years ago