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SixOpen
/
HARE

Feature Extraction
Transformers
English
hare
embeddings
text-retrieval
long-context
rwkv
modernbert
streaming
semantic-search
retrieval
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use SixOpen/HARE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="SixOpen/HARE", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("SixOpen/HARE", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
HARE
699 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
SixOpen's picture
SixOpen
Update README.md
fed4d3d verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    11.1 kB
    Update README.md about 2 months ago
  • birwkv7.py
    10.3 kB
    Update birwkv7.py about 2 months ago
  • config.json
    2 kB
    Upload folder using huggingface_hub 2 months ago
  • configuration_hare.py
    1.52 kB
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  • model.pt

    Detected Pickle imports (3)

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

    What is a pickle import?

    696 MB
    xet
    Upload folder using huggingface_hub 2 months ago
  • modeling_hare.py
    4.57 kB
    Update modeling_hare.py about 2 months ago
  • streaming.py
    8.04 kB
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  • surgery.py
    7.31 kB
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  • surgery_meta.json
    2.13 kB
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  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
    377 Bytes
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