Instructions to use dicta-il/dictabert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dicta-il/dictabert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dicta-il/dictabert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dicta-il/dictabert") model = AutoModelForMaskedLM.from_pretrained("dicta-il/dictabert", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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Sample usage:
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```
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from transformers import AutoModelForMaskedLM,
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tokenizer =
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model = AutoModelForMaskedLM.from_pretrained('dicta-il/dictabert')
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model.eval()
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Sample usage:
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```
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from transformers import AutoModelForMaskedLM, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained('dicta-il/dictabert')
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model = AutoModelForMaskedLM.from_pretrained('dicta-il/dictabert')
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model.eval()
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