NorGLM/NorGPT-369M

Gnerative Pretrained Tranformer with 369M parameters for Norwegian.

It belongs to NorGLM, a suite of pretrained Norwegian Generative Language Models. The model is based on GPT2 architecture. NorGLM can be used for non-commercial purposes.

Datasets

All models in NorGLM are trained on 200G datasets, nearly 25B tokens, including Norwegian, Denish, Swedish, Germany and English.

Run the Model

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "NorGLM/NorGPT-369M"
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)

Note

More training and evaluation details and papers will come soon!