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Duplicated from  chopratejas/kompress-v2-base

ooognicki
/
weeizer-v2-base

Token Classification
Transformers
ONNX
Safetensors
English
kompress_v2
text-compression
modernbert
lora
kompress
Model card Files Files and versions
xet
Community

Instructions to use ooognicki/weeizer-v2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ooognicki/weeizer-v2-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ooognicki/weeizer-v2-base")
    # Load model directly
    from transformers import HeadroomCompressorV2
    model = HeadroomCompressorV2.from_pretrained("ooognicki/weeizer-v2-base", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
weeizer-v2-base / onnx
875 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
ooognicki's picture
ooognicki
Duplicate from chopratejas/kompress-v2-base
a24924f 1 day ago
  • kompress-fp32.onnx
    601 MB
    xet
    Duplicate from chopratejas/kompress-v2-base 1 day ago
  • kompress-int8-wo.onnx
    274 MB
    xet
    Duplicate from chopratejas/kompress-v2-base 1 day ago