Instructions to use Omartificial-Intelligence-Space/SA-BERT-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Omartificial-Intelligence-Space/SA-BERT-V1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Omartificial-Intelligence-Space/SA-BERT-V1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Omartificial-Intelligence-Space/SA-BERT-V1") model = AutoModel.from_pretrained("Omartificial-Intelligence-Space/SA-BERT-V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# SA-BERT-V1: Saudi-Dialect Embeddings
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# SA-BERT-V1: Saudi-Dialect Embeddings
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<img src="https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/rOA7rBfKIVuwLOkg1Ytd2.jpeg" alt="MarBERTv2-SA Logo" width="400"/>
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