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nahid-hub
/
BnLM-F-135m

Fill-Mask
Transformers
Safetensors
Bengali
distilbert
bengali
bangla
BnLM-F
bnlm
bangla-model
small-bangla-model
bengali-nlp
bnlp
low-resource
masked-language-modeling
pretrained
language-model
Model card Files Files and versions
xet
Community

Instructions to use nahid-hub/BnLM-F-135m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nahid-hub/BnLM-F-135m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="nahid-hub/BnLM-F-135m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("nahid-hub/BnLM-F-135m")
    model = AutoModelForMaskedLM.from_pretrained("nahid-hub/BnLM-F-135m", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BnLM-F-135m
548 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
nahid-hub's picture
nahid-hub
Update README.md
1037f55 verified 20 days ago
  • .gitattributes
    1.52 kB
    initial commit 25 days ago
  • README.md
    5.83 kB
    Update README.md 20 days ago
  • config.json
    587 Bytes
    Upload 5 files 25 days ago
  • model.safetensors
    543 MB
    xet
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  • special_tokens_map.json
    695 Bytes
    Upload 5 files 25 days ago
  • tokenizer.json
    4.37 MB
    Upload 5 files 25 days ago
  • tokenizer_config.json
    1.14 kB
    Upload 5 files 25 days ago