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alphaedge-ai
/
mmBERT-base-asm-32768

Fill-Mask
Transformers
Safetensors
Assamese
modernbert
feature-extraction
trimmed
Model card Files Files and versions
xet
Community

Instructions to use alphaedge-ai/mmBERT-base-asm-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use alphaedge-ai/mmBERT-base-asm-32768 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="alphaedge-ai/mmBERT-base-asm-32768")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("alphaedge-ai/mmBERT-base-asm-32768")
    model = AutoModel.from_pretrained("alphaedge-ai/mmBERT-base-asm-32768")
  • Notebooks
  • Google Colab
  • Kaggle
mmBERT-base-asm-32768
545 MB
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  • 2 contributors
History: 3 commits
lbourdois's picture
lbourdois
Update model card for Assamese
b8e1b9b verified 10 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    2.35 kB
    Update model card for Assamese 10 days ago
  • config.json
    1.98 kB
    Upload Assamese pruned model 2 months ago
  • model.safetensors
    542 MB
    xet
    Upload Assamese pruned model 2 months ago
  • tokenizer.json
    3.38 MB
    Upload Assamese pruned model 2 months ago
  • tokenizer_config.json
    380 Bytes
    Upload Assamese pruned model 2 months ago