Instructions to use PerSpaCor/HooshvareLab-bert-base-parsbert-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PerSpaCor/HooshvareLab-bert-base-parsbert-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PerSpaCor/HooshvareLab-bert-base-parsbert-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PerSpaCor/HooshvareLab-bert-base-parsbert-uncased") model = AutoModelForTokenClassification.from_pretrained("PerSpaCor/HooshvareLab-bert-base-parsbert-uncased") - Notebooks
- Google Colab
- Kaggle
this model is specifically trained for PerSpaCor a Persian text space corrector you can use this model in https://perspacor.ir additional codes for running the model are found in https://github.com/MatinEbrahimkhani/PerSpaCor_components
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