Fill-Mask
Transformers
Safetensors
Persian
roberta
masked-lm
persian
farsi
ner
relation-extraction
Eval Results (legacy)
Instructions to use selfms/persian_roberta_opt_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use selfms/persian_roberta_opt_tokenizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="selfms/persian_roberta_opt_tokenizer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("selfms/persian_roberta_opt_tokenizer") model = AutoModelForMaskedLM.from_pretrained("selfms/persian_roberta_opt_tokenizer") - Notebooks
- Google Colab
- Kaggle