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ZurichNLP
/
swiss-german-canine

Feature Extraction
Transformers
PyTorch
Safetensors
Swiss German
multilingual
canine
Model card Files Files and versions
xet
Community
1

Instructions to use ZurichNLP/swiss-german-canine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ZurichNLP/swiss-german-canine with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ZurichNLP/swiss-german-canine")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ZurichNLP/swiss-german-canine")
    model = AutoModel.from_pretrained("ZurichNLP/swiss-german-canine", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
swiss-german-canine
1.37 GB
Ctrl+K
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  • 2 contributors
History: 5 commits
jvamvas's picture
jvamvas
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
d072c4b verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.39 kB
    Update README.md over 2 years ago
  • config.json
    666 Bytes
    Upload model over 2 years ago
  • model.safetensors
    683 MB
    xet
    Adding `safetensors` variant of this model (#1) over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    683 MB
    xet
    Upload model over 2 years ago
  • special_tokens_map.json
    657 Bytes
    Upload model over 2 years ago
  • tokenizer_config.json
    854 Bytes
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