Instructions to use dicta-il/dictabert-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dicta-il/dictabert-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dicta-il/dictabert-tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dicta-il/dictabert-tiny") model = AutoModelForMaskedLM.from_pretrained("dicta-il/dictabert-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# DictaBERT-
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State-of-the-art language model for Hebrew, released [here](https://arxiv.org/abs/2308.16687).
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# DictaBERT-Tiny: A State-of-the-Art BERT-Large Suite for Modern Hebrew
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State-of-the-art language model for Hebrew, released [here](https://arxiv.org/abs/2308.16687).
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