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ProximaAI
/
urnova-95m

Fill-Mask
Transformers
Safetensors
Urdu
modernbert
urdu
encoder
masked-language-modeling
long-context
8k-context
urblimp
zero-shot
benchmark
Model card Files Files and versions
xet
Community

Instructions to use ProximaAI/urnova-95m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ProximaAI/urnova-95m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="ProximaAI/urnova-95m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("ProximaAI/urnova-95m")
    model = AutoModelForMaskedLM.from_pretrained("ProximaAI/urnova-95m", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
urnova-95m
389 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 32 commits
mahwizzzz's picture
mahwizzzz
Update README.md
04e1769 verified 2 days ago
  • benchmark
    Delete benchmark/polar-pilot 2 days ago
  • logo
    Delete logo/dum.png 4 days ago
  • .gitattributes
    1.67 kB
    Upload logo.png 4 days ago
  • DATA_AND_THIRD_PARTY_NOTICE.md
    3.3 kB
    Add weights licence and HPLT provenance notices 5 days ago
  • LICENSE-CODE-AND-DOCUMENTATION
    10.8 kB
    Release urnova-95m with POLAR Urdu Task 1 pilot 5 days ago
  • LICENSE-WEIGHTS
    10.8 kB
    Add weights licence and HPLT provenance notices 5 days ago
  • NOTICE
    881 Bytes
    Add weights licence and HPLT provenance notices 5 days ago
  • README.md
    6.41 kB
    Update README.md 2 days ago
  • config.json
    1.34 kB
    ziwham 9 days ago
  • model.safetensors
    381 MB
    xet
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  • native-export-parity.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
    1.19 kB
    ziwham 9 days ago
  • urnova_identity.json
    309 Bytes
    ziwham 9 days ago