Instructions to use HooshvareLab/roberta-fa-zwnj-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HooshvareLab/roberta-fa-zwnj-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HooshvareLab/roberta-fa-zwnj-base")# 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") - Notebooks
- Google Colab
- Kaggle
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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