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--- |
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license: mit |
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language: |
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- de |
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--- |
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BLOOM-1B LAPT + FOCUS German |
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=== |
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## How to use |
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```python |
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from peft import AutoPeftModelForCausalLM |
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from transformers import AutoTokenizer |
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model = AutoPeftModelForCausalLM.from_pretrained( |
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"atsuki-yamaguchi/bloom-1b1-focus-de" |
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) |
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tokenizer = AutoTokenizer.from_pretrained( |
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"atsuki-yamaguchi/bloom-1b1-focus-de" |
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) |
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``` |
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## Citation |
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``` |
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@article{yamaguchi2024empirical, |
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title={An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Generative {LLM} Inference}, |
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author={Atsuki Yamaguchi and Aline Villavicencio and Nikolaos Aletras}, |
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journal={ArXiv}, |
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year={2024}, |
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volume={abs/2402.10712}, |
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url={https://arxiv.org/abs/2402.10712} |
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} |
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``` |
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## Link |
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For more details, please visit https://github.com/gucci-j/llm-cva |
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