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rbk4209
/
winnow-pooled-32m

Feature Extraction
Transformers
Safetensors
English
squeez-pooled
winnow
headroom
squeez
context-compression
coding-agents
tool-output
custom_code
Model card Files Files and versions
xet
Community

Instructions to use rbk4209/winnow-pooled-32m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rbk4209/winnow-pooled-32m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="rbk4209/winnow-pooled-32m", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("rbk4209/winnow-pooled-32m", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
winnow-pooled-32m
131 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
rbk4209's picture
rbk4209
Winnow pooled line classifier (32M), v0.2.0
bc95888 verified 29 days ago
  • .gitattributes
    1.52 kB
    initial commit 29 days ago
  • README.md
    3.48 kB
    Winnow pooled line classifier (32M), v0.2.0 29 days ago
  • config.json
    2.62 kB
    Winnow pooled line classifier (32M), v0.2.0 29 days ago
  • logo.png
    90.3 kB
    Winnow pooled line classifier (32M), v0.2.0 29 days ago
  • model.safetensors
    128 MB
    xet
    Winnow pooled line classifier (32M), v0.2.0 29 days ago
  • modeling_squeez_pooled.py
    15.1 kB
    Winnow pooled line classifier (32M), v0.2.0 29 days ago
  • tokenizer.json
    3.58 MB
    Winnow pooled line classifier (32M), v0.2.0 29 days ago
  • tokenizer_config.json
    401 Bytes
    Winnow pooled line classifier (32M), v0.2.0 29 days ago