Feature Extraction
Transformers
Nepali
English
Hindi
tokenizer
nepali
devanagari
bpe
byte-level-bpe
mark-aware
doai-ku
ilprl
fast-tokenizer
Instructions to use DOAIxILPRL-KU/nep-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DOAIxILPRL-KU/nep-tokenizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DOAIxILPRL-KU/nep-tokenizer")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DOAIxILPRL-KU/nep-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Release Nep-Tokenizer v2 (64k): Native Hugging Face BPE with Mark-Aware Pre-tokenization and 100% Devanagari Block Coverage
a4c3ef3 Download metadata.json from DOAIxILPRL-KU/nep-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 1.03 kB
-
https://huggingface.co/DOAIxILPRL-KU/nep-tokenizer/resolve/main/metadata.json
- Command line
-
hf download hf://DOAIxILPRL-KU/nep-tokenizer/metadata.json
-
curl -L -o metadata.json https://huggingface.co/DOAIxILPRL-KU/nep-tokenizer/resolve/main/metadata.json
1.03 kB
| { | |
| "name": "DOAIxILPRL-KU/nep-tokenizer", | |
| "tier": "64k", | |
| "vocab_size": 64053, | |
| "version": "v2.0", | |
| "institution": "Department of Artificial Intelligence (DOAI) & Information and Language Processing Research Lab (ILPRL), Kathmandu University", | |
| "description": "Standard 64k vocabulary for Nepali & Multilingual Large Language Models", | |
| "model_type": "byte-level BPE", | |
| "backend": "tokenizers (Rust PreTrainedTokenizerFast)", | |
| "normalization": "NFC", | |
| "pre_tokenizer": "Isolated Digit Grouping [0-9०-९]{1,3} + Mark-Aware Unicode Regex [\\p{L}\\p{M}]+ + ByteLevel", | |
| "decoder": "ByteLevel", | |
| "devanagari_block_coverage": "100.0% (all 128 assigned codepoints guaranteed)", | |
| "matra_cohesion_rate": "100.0%", | |
| "roundtrip_fidelity": "100.0%", | |
| "special_tokens": [ | |
| "<|pad|>", | |
| "<|bos|>", | |
| "<|eos|>", | |
| "<|unk|>", | |
| "<|sep|>", | |
| "<|start_turn|>", | |
| "<|end_turn|>", | |
| "<|think|>", | |
| "<|/think|>", | |
| "<|tool_call|>", | |
| "<|/tool_call|>", | |
| "<|tool_result|>", | |
| "<|/tool_result|>" | |
| ] | |
| } | |