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SpireLab
/
RESPIN_LanguageModels

Fill-Mask
Transformers
Safetensors
muril
bert
mlm
low-resource
indic-languages
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use SpireLab/RESPIN_LanguageModels with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="SpireLab/RESPIN_LanguageModels")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("SpireLab/RESPIN_LanguageModels", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
RESPIN_LanguageModels / muril_hi_domain
975 MB
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  • 2 contributors
History: 1 commit
SpireLab's picture
SpireLab
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137c748 verified 4 months ago
  • checkpoint-540000
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  • checkpoint-542931
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  • config.json
    661 Bytes
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  • generation_config.json
    90 Bytes
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  • model.safetensors
    951 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    6.41 MB
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  • tokenizer_config.json
    1.27 kB
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  • vocab.txt
    3.16 MB
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