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shahbakhsh
/
BalBERT

Fill-Mask
Transformers
Safetensors
PyTorch
Baluchi
xlm-roberta
balochi
low-resource
masked-language-modeling
domain-adaptive-pretraining
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use shahbakhsh/BalBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="shahbakhsh/BalBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("shahbakhsh/BalBERT")
    model = AutoModelForMaskedLM.from_pretrained("shahbakhsh/BalBERT", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BalBERT
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
shahbakhsh's picture
shahbakhsh
Update README.md
ef85466 verified about 6 hours ago
  • .gitattributes
    1.57 kB
    Upload BalBERT: continued MLM pretraining of xlm-roberta-base about 12 hours ago
  • README.md
    8.82 kB
    Update README.md about 6 hours ago
  • config.json
    749 Bytes
    Upload BalBERT: continued MLM pretraining of xlm-roberta-base about 12 hours ago
  • model.safetensors
    1.11 GB
    xet
    Upload BalBERT: continued MLM pretraining of xlm-roberta-base about 12 hours ago
  • tokenizer.json
    17.1 MB
    xet
    Upload BalBERT: continued MLM pretraining of xlm-roberta-base about 12 hours ago
  • tokenizer_config.json
    343 Bytes
    Upload BalBERT: continued MLM pretraining of xlm-roberta-base about 12 hours ago
  • training_args.bin
    5.27 kB
    xet
    Upload BalBERT: continued MLM pretraining of xlm-roberta-base about 12 hours ago
  • training_args.json
    3.46 kB
    Upload BalBERT: continued MLM pretraining of xlm-roberta-base about 12 hours ago