nepbert
Model description
Roberta trained from scratch on the Nepali CC-100 dataset with 12 million sentences.
Intended uses & limitations
How to use
from transformers import pipeline
pipe = pipeline(
"fill-mask",
model="amitness/nepbert",
tokenizer="amitness/nepbert"
)
print(pipe(u"तिमीलाई कस्तो <mask>?"))
Training data
The data was taken from the nepali language subset of CC-100 dataset.
Training procedure
The model was trained on Google Colab using 1x Tesla V100.