FarsTail: A Persian Natural Language Inference Dataset
Paper • 2009.08820 • Published
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/bert-fa-base-uncased-farstail-mean-tokens")
model = AutoModel.from_pretrained("m3hrdadfi/bert-fa-base-uncased-farstail-mean-tokens", device_map="auto")Quick Links
FarsTail + ParsBERT
Please follow the FarsTail repo for the latest information about the dataset. For accessing the beneficiary models from this dataset, check out the Sentence-Transformer repo.
@article{amirkhani2020farstail,
title={FarsTail: A Persian Natural Language Inference Dataset},
author={Hossein Amirkhani, Mohammad Azari Jafari, Azadeh Amirak, Zohreh Pourjafari, Soroush Faridan Jahromi, and Zeinab Kouhkan},
journal={arXiv preprint arXiv:2009.08820},
year={2020}
}
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="m3hrdadfi/bert-fa-base-uncased-farstail-mean-tokens")