metadata
license: cc-by-nc-sa-4.0
language:
- 'no'
Gnerative Pretrained Tranformer with 3 Billion parameters for Norwegian. The model is continue trained using NorGPT-3B model on a selective documents from the pretraining dataset, which includes news articles, parlamentary speech, books and govermental reports.
It belongs to NorGLM, a suite of pretrained Norwegian Generative Language Models. NorGLM can be used for non-commercial purposes.
Run the Model
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
model_id = "NorGLM/NorGPT-3B-continue"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
device_map='auto',
torch_dtype=torch.bfloat16
)
text = "Tom ønsket å gå på barene med venner"
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=20)
Citation Information
If you feel our work is helpful, please cite our paper:
@inproceedings{liu2024nlebench+,
title={NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian},
author={Liu, Peng and Zhang, Lemei and Farup, Terje and Lauvrak, Even and Ingvaldsen, Jon and Eide, Simen and Gulla, Jon Atle and Yang, Zhirong},
booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
pages={5543--5560},
year={2024}
}