Instructions to use universalml/Nepali_Tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalml/Nepali_Tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("universalml/Nepali_Tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Details
A tokenizer designed for the Nepali language, supporting both word and subword tokenization. Ideal for Nepali NLP tasks such as language modeling, text classification, and more, addressing the specific needs of Nepali script and grammar
Model Description
- Developed by: Universalml Inc.
- Funded by : AWS , DigitalOcean
- Language(s) (NLP): Nepali
- License: MIT
- Finetuned from model optional: microsoft/Phi-3.5-mini-instruct
Inference Providers NEW
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Model tree for universalml/Nepali_Tokenizer
Base model
microsoft/Phi-3.5-mini-instruct
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("universalml/Nepali_Tokenizer", dtype="auto")