Instructions to use emanjavacas/GysBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emanjavacas/GysBERT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("emanjavacas/GysBERT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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# GysBERT v1
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This model is a Historical Language Model for Dutch coming from the [MacBERTh project](https://macberth.netlify.app/).
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license: mit
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language:
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- nl
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---
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# GysBERT v1
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This model is a Historical Language Model for Dutch coming from the [MacBERTh project](https://macberth.netlify.app/).
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