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LocalDoc
/
mmBERT-small-en-az

Feature Extraction
Transformers
Safetensors
English
Azerbaijani
modernbert
multilingual
vocabulary-truncation
encoder
fill-mask
azerbaijani
english
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use LocalDoc/mmBERT-small-en-az with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LocalDoc/mmBERT-small-en-az with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="LocalDoc/mmBERT-small-en-az")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("LocalDoc/mmBERT-small-en-az")
    model = AutoModel.from_pretrained("LocalDoc/mmBERT-small-en-az")
  • Notebooks
  • Google Colab
  • Kaggle
mmBERT-small-en-az
284 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
vrashad's picture
vrashad
Update README.md
7544d8a verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    4.82 kB
    Update README.md about 2 months ago
  • config.json
    1.9 kB
    Upload mmBERT-base truncated to EN+AZ vocabulary (71K tokens) about 2 months ago
  • model.safetensors
    279 MB
    xet
    Upload mmBERT-base truncated to EN+AZ vocabulary (71K tokens) about 2 months ago
  • tokenizer.json
    4.8 MB
    Upload mmBERT-base truncated to EN+AZ vocabulary (71K tokens) about 2 months ago
  • tokenizer_config.json
    544 Bytes
    Upload mmBERT-base truncated to EN+AZ vocabulary (71K tokens) about 2 months ago