Instructions to use Jacobo/aristoBERTo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jacobo/aristoBERTo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Jacobo/aristoBERTo")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Jacobo/aristoBERTo") model = AutoModelForMaskedLM.from_pretrained("Jacobo/aristoBERTo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Intended uses
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This model was created for fine-tuning with spaCy and the ancient Greek Universal Dependency datasets
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It achieves the following results on the evaluation set:
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## Intended uses
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This model was created for fine-tuning with spaCy and the ancient Greek Universal Dependency datasets as well as a NER corpus produced by the [Diogenet project](https://diogenet.ucsd.edu).
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It achieves the following results on the evaluation set:
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