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tblard
/
tf-allocine

Text Classification
Transformers
google-tensorflow TensorFlow
French
camembert
Model card Files Files and versions
xet
Community

Instructions to use tblard/tf-allocine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tblard/tf-allocine with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tblard/tf-allocine")
    # Load model directly
    from transformers import AutoTokenizer, TF_AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tblard/tf-allocine")
    model = TF_AutoModelForSequenceClassification.from_pretrained("tblard/tf-allocine")
  • Notebooks
  • Google Colab
  • Kaggle
tf-allocine
446 MB
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  • 1 contributor
History: 15 commits
julien-c's picture
julien-c HF Staff
Migrate model card from transformers-repo
9ba1b0f over 5 years ago
  • .gitattributes
    345 Bytes
    initial commit almost 6 years ago
  • README.md
    1.53 kB
    Migrate model card from transformers-repo over 5 years ago
  • config.json
    666 Bytes
    Update config.json almost 6 years ago
  • sentencepiece.bpe.model
    811 kB
    Update sentencepiece.bpe.model almost 6 years ago
  • special_tokens_map.json
    210 Bytes
    Update special_tokens_map.json almost 6 years ago
  • tf_model.h5
    445 MB
    xet
    Update tf_model.h5 almost 6 years ago
  • tokenizer_config.json
    2 Bytes
    Update tokenizer_config.json almost 6 years ago