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ai4bharat
/
IndicBERT-MLM-SAM

Feature Extraction
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use ai4bharat/IndicBERT-MLM-SAM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ai4bharat/IndicBERT-MLM-SAM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ai4bharat/IndicBERT-MLM-SAM")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ai4bharat/IndicBERT-MLM-SAM")
    model = AutoModel.from_pretrained("ai4bharat/IndicBERT-MLM-SAM")
  • Notebooks
  • Google Colab
  • Kaggle
IndicBERT-MLM-SAM
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  • 1 contributor
History: 3 commits
sumanthd's picture
sumanthd
add model
2da3224 over 3 years ago
  • .gitattributes
    1.44 kB
    add tokenizer over 3 years ago
  • config.json
    645 Bytes
    add model over 3 years ago
  • pytorch_model.bin
    1.11 GB
    xet
    add model over 3 years ago
  • special_tokens_map.json
    125 Bytes
    add tokenizer over 3 years ago
  • tokenizer.json
    7.75 MB
    xet
    add tokenizer over 3 years ago
  • tokenizer_config.json
    51 Bytes
    add tokenizer over 3 years ago