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.

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Hosted inference API
Fill-Mask
Mask token: <mask>
This model can be loaded on the Inference API on-demand.