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vachonni
/
Model_HF_Trained

Text Classification
Transformers
Safetensors
French
camembert
sentiment-analysis
french
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use vachonni/Model_HF_Trained with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="vachonni/Model_HF_Trained")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("vachonni/Model_HF_Trained")
    model = AutoModelForSequenceClassification.from_pretrained("vachonni/Model_HF_Trained")
  • Notebooks
  • Google Colab
  • Kaggle
Model_HF_Trained
445 MB
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  • 1 contributor
History: 6 commits
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vachonni
Update README.md
0a651f5 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    971 Bytes
    Update README.md over 2 years ago
  • config.json
    878 Bytes
    Vachonni/TrainingNLP-SentiemntAnalysis-10pourcent over 2 years ago
  • model.safetensors
    443 MB
    xet
    Vachonni/TrainingNLP-SentiemntAnalysis-10pourcent over 2 years ago
  • special_tokens_map.json
    374 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.76 kB
    Upload tokenizer over 2 years ago
  • training_args.bin
    4.86 kB
    xet
    Vachonni/TrainingNLP-SentiemntAnalysis-10pourcent over 2 years ago