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mahbubhimel
/
BNLLaMA

Text Classification
Transformers
Safetensors
llama
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use mahbubhimel/BNLLaMA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mahbubhimel/BNLLaMA")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mahbubhimel/BNLLaMA")
    model = AutoModelForSequenceClassification.from_pretrained("mahbubhimel/BNLLaMA")
  • Notebooks
  • Google Colab
  • Kaggle
BNLLaMA
6.71 GB
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  • 1 contributor
History: 3 commits
mahbubhimel's picture
mahbubhimel
Upload tokenizer
e6674c5 verified over 1 year ago
  • .gitattributes
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  • README.md
    5.17 kB
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  • config.json
    907 Bytes
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  • model-00001-of-00002.safetensors
    4.97 GB
    xet
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  • model-00002-of-00002.safetensors
    1.71 GB
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  • model.safetensors.index.json
    21 kB
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  • special_tokens_map.json
    439 Bytes
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  • tokenizer.json
    29.4 MB
    xet
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  • tokenizer_config.json
    51.1 kB
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