Instructions to use nowalab/nepali-bert-npvec1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nowalab/nepali-bert-npvec1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nowalab/nepali-bert-npvec1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nowalab/nepali-bert-npvec1") model = AutoModelForMaskedLM.from_pretrained("nowalab/nepali-bert-npvec1") - Notebooks
- Google Colab
- Kaggle
We are releasing the first BERT model trained on monolingual text for Nepali. Please refer our paper NPVec1: Word Embeddings for Nepali - Construction and Evaluation to get details on its construction and evaluation.
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