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NepNewsBERT
Shushant/NepNewsBERT
NepNewsBERT is a fill-mask model from Shushant. Use it when you need the model to fill a missing word. It is set up for transformers.
from transformers import AutoTokenizer, AutoModelForMaskedLM
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 14, 2021
- SHA
- 698130bf
Try a prompt
Model card
From the Hugging Face model README
NepNewsBERT
Masked Language Model for nepali language trained on nepali news scrapped from different nepali news website. The data set contained about 10 million of nepali sentences mainly related to nepali news.
Usage
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("Shushant/NepNewsBERT")
model = AutoModelForMaskedLM.from_pretrained("Shushant/NepNewsBERT")
from transformers import pipeline
fill_mask = pipeline( "fill-mask", model=model, tokenizer=tokenizer, ) from pprint import pprint pprint(fill_mask(f"तिमीलाई कस्तो {tokenizer.mask_token}."))
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Dec 14, 2021