# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/albert-fa-zwnj-base-v2")
model = AutoModelForMaskedLM.from_pretrained("HooshvareLab/albert-fa-zwnj-base-v2")Quick Links
ALBERT-Persian
A Lite BERT for Self-supervised Learning of Language Representations for the Persian Language
میتونی بهش بگی برت_کوچولو
Call it little_berty
BibTeX entry and citation info
Please cite in your publication as the following:
@misc{ALBERTPersian,
author = {Hooshvare Team},
title = {ALBERT-Persian: A Lite BERT for Self-supervised Learning of Language Representations for the Persian Language},
year = {2021},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/m3hrdadfi/albert-persian}},
}
Questions?
Post a Github issue on the ALBERT-Persian repo.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HooshvareLab/albert-fa-zwnj-base-v2")