| # This is only a tokenizer. | |
| - This tokenizer is a PreTrainedTokenizerFast which is trained on raygx/Nepali-Extended-Corpus datasets. | |
| - This tokenizer is trained from scratch using Tokenizers library. | |
| - This tokenizer uses | |
| - Model: Tokenizer(WordPiece(unk_token="[UNK]")) | |
| - Normalizer: normalizers.Sequence([NFD(),Strip()]) | |
| - Pre-processor: pre_tokenizers.Sequence([Whitespace(),Digits(individual_digits=True), Punctuation()]) | |
| - Post-processor: BertProcessing | |
| [Code is available here.](https://www.kaggle.com/code/reganmaharjan/nepali-tokenizers-4-transformers/) |