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temsa
/
IrishCore-DiffMask-135M-v1-rc2

Token Classification
Transformers
ONNX
Safetensors
English
Irish
distilbert
pii
de-identification
ireland
irish
gaelic
diffusion-style
denoising
ppsn
eircode
int8
dynamic-quantization
cpu
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use temsa/IrishCore-DiffMask-135M-v1-rc2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use temsa/IrishCore-DiffMask-135M-v1-rc2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="temsa/IrishCore-DiffMask-135M-v1-rc2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc2")
    model = AutoModel.from_pretrained("temsa/IrishCore-DiffMask-135M-v1-rc2")
  • Notebooks
  • Google Colab
  • Kaggle
IrishCore-DiffMask-135M-v1-rc2 / onnx
1.49 GB
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  • 1 contributor
History: 1 commit
temsa's picture
temsa
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ed10267 verified 4 months ago
  • config.json
    8.13 kB
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  • model.onnx
    539 MB
    xet
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  • model.preprocessed.onnx
    539 MB
    xet
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  • model_quantized.onnx
    412 MB
    xet
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  • onnx_export.json
    258 Bytes
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  • quantization.json
    602 Bytes
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    2.92 MB
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  • tokenizer_config.json
    1.45 kB
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  • vocab.txt
    996 kB
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