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almanach
/
camembertav2-base

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
TensorBoard
Safetensors
French
deberta-v2
deberta-v3
debertav2
debertav3
camembert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use almanach/camembertav2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use almanach/camembertav2-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="almanach/camembertav2-base")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("almanach/camembertav2-base")
    model = AutoModel.from_pretrained("almanach/camembertav2-base", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
camembertav2-base / summaries /train
9.71 MB
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  • 2 contributors
History: 1 commit
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wissamantoun
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