Downloads · 30 days
110
1% of all-time downloads
amitness/roberta-base-ne
roberta-base-ne is a fill-mask model from amitness. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
Roberta trained from scratch on the Nepali CC-100 dataset with 12 million sentences.
Downloads · 30 days
110
1% of all-time downloads
All-time downloads
14.9K
Public
Parameters
83.5M
1 GB on disk
Likes
1
Public
Click a slice to open those files.
.bin334 MB · 33%
How the weights are stored.
F3283.5M · 100%
From the Hugging Face model README
Roberta trained from scratch on the Nepali CC-100 dataset with 12 million sentences.
from transformers import pipeline
pipe = pipeline(
"fill-mask",
model="amitness/nepbert",
tokenizer="amitness/nepbert"
)
print(pipe(u"तिमीलाई कस्तो <mask>?"))
The data was taken from the nepali language subset of CC-100 dataset.
The model was trained on Google Colab using 1x Tesla V100.