Instructions to use ViraIntelligentDataMining/AriaBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ViraIntelligentDataMining/AriaBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ViraIntelligentDataMining/AriaBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ViraIntelligentDataMining/AriaBERT") model = AutoModelForMaskedLM.from_pretrained("ViraIntelligentDataMining/AriaBERT") - Notebooks
- Google Colab
- Kaggle
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# AriaBERT: A
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## Introduction
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AriaBERT represents a breakthrough in natural language processing (NLP) for the Persian language. Developed to address the critical gap in efficient pretrained language models for Persian, AriaBERT is tailored to elevate the standards of Persian language tasks.
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# AriaBERT: A Pre-trained Persian BERT Model for Natural Language Understanding
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## Introduction
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AriaBERT represents a breakthrough in natural language processing (NLP) for the Persian language. Developed to address the critical gap in efficient pretrained language models for Persian, AriaBERT is tailored to elevate the standards of Persian language tasks.
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