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rntc
/
test-camem2

Feature Extraction
Transformers
PyTorch
Safetensors
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use rntc/test-camem2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rntc/test-camem2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="rntc/test-camem2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("rntc/test-camem2")
    model = AutoModel.from_pretrained("rntc/test-camem2")
  • Notebooks
  • Google Colab
  • Kaggle
test-camem2
894 MB
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  • 1 contributor
History: 4 commits
rntc's picture
rntc
Upload pytorch_model.bin with huggingface_hub
1bf14d9 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
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  • config.json
    866 Bytes
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  • model.safetensors
    446 MB
    xet
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    447 MB
    xet
    Upload pytorch_model.bin with huggingface_hub almost 2 years ago
  • special_tokens_map.json
    971 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    756 kB
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  • tokenizer_config.json
    1.25 kB
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  • vocab.txt
    235 kB
    Upload tokenizer almost 2 years ago