Instructions to use NepBERTa/NepBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NepBERTa/NepBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NepBERTa/NepBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NepBERTa/NepBERTa") model = AutoModelForMaskedLM.from_pretrained("NepBERTa/NepBERTa") - Notebooks
- Google Colab
- Kaggle
This repository contains the pre-trained language model in the Nepali language. Our work has been accepted as "The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022". More details on the paper will be posted after the publishment of the article.
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