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A byte-based transformer model trained on Hungarian language. In order to use the model you will need a custom Tokenizer which is available at: [https://github.com/szegedai/byte-offset-tokenizer](https://github.com/szegedai/byte-offset-tokenizer).
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Since we use a custom architecture with Gradient Boosting, Down- and Up-Sampling, you have to enable Trusted Code like:
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```python
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model = AutoModel.from_pretrained("SzegedAI/charmen-electra", trust_remote_code=True)
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A byte-based transformer model trained on Hungarian language. In order to use the model you will need a custom Tokenizer which is available at: [https://github.com/szegedai/byte-offset-tokenizer](https://github.com/szegedai/byte-offset-tokenizer).
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Since we use a custom architecture with Gradient Boosting, Down- and Up-Sampling, you have to enable Trusted Remote Code like:
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```python
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model = AutoModel.from_pretrained("SzegedAI/charmen-electra", trust_remote_code=True)
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