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M-CLIP
/
Swedish-2M

Feature Extraction
Transformers
PyTorch
JAX
Swedish
bert
Model card Files Files and versions
xet
Community
2

Instructions to use M-CLIP/Swedish-2M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use M-CLIP/Swedish-2M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="M-CLIP/Swedish-2M")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("M-CLIP/Swedish-2M")
    model = AutoModel.from_pretrained("M-CLIP/Swedish-2M")
  • Notebooks
  • Google Colab
  • Kaggle
Swedish-2M
998 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 6 commits
FreddeFrallan's picture
FreddeFrallan
lbourdois's picture
lbourdois
Update README.md (#1)
a8d1b82 over 3 years ago
  • .gitattributes
    736 Bytes
    allow flax almost 5 years ago
  • README.md
    1.57 kB
    Update README.md (#1) over 3 years ago
  • config.json
    572 Bytes
    Main Commit about 5 years ago
  • flax_model.msgpack
    499 MB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
    Main Commit about 5 years ago
  • special_tokens_map.json
    112 Bytes
    Main Commit about 5 years ago
  • tokenizer_config.json
    493 Bytes
    Main Commit about 5 years ago
  • vocab.txt
    399 kB
    Main Commit about 5 years ago