Comparison of Czech Transformers on Text Classification Tasks
Paper • 2107.10042 • Published
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("fav-kky/FERNET-News")
model = AutoModelForMaskedLM.from_pretrained("fav-kky/FERNET-News")Quick Links
FERNET-News
FERNET-News is a monolingual Czech RoBERTa-base model pre-trained from 20.5GB of thoroughly cleaned Czech news corpus.
Preprint of our paper is available at https://arxiv.org/abs/2107.10042.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fav-kky/FERNET-News")