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theschoolofai
/
BrahmicTokenizer-131K

Feature Extraction
Transformers
tokenizer
byte-level-bpe
brahmic
indic
multilingual
hindi
bengali
tamil
telugu
kannada
malayalam
marathi
gujarati
punjabi
odia
assamese
Model card Files Files and versions
xet
Community
1

Instructions to use theschoolofai/BrahmicTokenizer-131K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use theschoolofai/BrahmicTokenizer-131K with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="theschoolofai/BrahmicTokenizer-131K")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("theschoolofai/BrahmicTokenizer-131K", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BrahmicTokenizer-131K
8.05 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 4 commits
theschoolofai's picture
theschoolofai
nielsr's picture
nielsr HF Staff
Add pipeline tag, update library name and refine metadata (#1)
93df154 4 days ago
  • .gitattributes
    1.52 kB
    initial commit 15 days ago
  • LICENSE
    11.5 kB
    Initial release: BrahmicTokenizer-131K (private, paper not yet submitted) 8 days ago
  • README.md
    5.44 kB
    Add pipeline tag, update library name and refine metadata (#1) 4 days ago
  • special_tokens_map.json
    124 Bytes
    Initial release: BrahmicTokenizer-131K (private, paper not yet submitted) 8 days ago
  • tokenizer.json
    8.03 MB
    Initial release: BrahmicTokenizer-131K (private, paper not yet submitted) 8 days ago
  • tokenizer_config.json
    243 Bytes
    Initial release: BrahmicTokenizer-131K (private, paper not yet submitted) 8 days ago