# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/roberta-fa-zwnj-base")
model = AutoModelForMaskedLM.from_pretrained("HooshvareLab/roberta-fa-zwnj-base", device_map="auto")Quick Links
Roberta
This model can tackle the zero-width non-joiner character for Persian writing. Also, the model was trained on new multi-types corpora with a new set of vocabulary.
Questions?
Post a Github issue on the ParsRoBERTa Issues repo.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HooshvareLab/roberta-fa-zwnj-base")