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README.md
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language:
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- ml
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pipeline_tag: text-classification
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language:
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- ml
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pipeline_tag: text-classification
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---
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### About
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- This tokenizer was trained using the [CulturaX](https://huggingface.co/datasets/uonlp/CulturaX) dataset. We sample 1.2 million datapoints at random.
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- This was trained using the [SentencePiece](https://github.com/google/sentencepiece) by Google.
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- Then the trained tokens were then added to the `LlamaTokenizer` leading to a total of 49,120 tokens from 32,000 from the original tokenizer.
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- The merging was done according to what the [Chinese-Llama-Alpaca](https://github.com/ymcui/Chinese-LLaMA-Alpaca/blob/main/scripts/merge_tokenizer/merge_tokenizers.py)'s merging did.
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### Usage
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```python
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from transformers import LlamaTokenizer
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tokenizer = LlamaTokenizer.from_pretrained("learninbit/malayalam-llama-2-tokenizer-v0.1")
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text = "ഹനഫസ ഹഫഞ്ചഥ ചകഡു ടെണല ഡൃൊമത്തീഴ ടഞ്ഞഭഞ റദ്ധഷ ഌിപത്മഫഥ ടജ്ജഡ്ഡപ്പെവ പഴുണൊ."
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tokens = tokenizer.tokenizer(text)
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```
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