Update README.md

README.md

@@ -1,9 +1,35 @@
 ---
-library_name: peft
+license: mit
+language:
+- de
 ---
-## Training procedure
+Mistral-7B LAPT + CLP+ Japanese
+===
 
-### Framework versions
+## How to use
+```python
+from peft import AutoPeftModelForCausalLM
+from transformers import AutoTokenizer
 
+model = AutoPeftModelForCausalLM.from_pretrained(
+  "atsuki-yamaguchi/Mistral-7B-v0.1-clpp-ja"
+)
+tokenizer = AutoTokenizer.from_pretrained(
+  "atsuki-yamaguchi/Mistral-7B-v0.1-clpp-ja"
+)
+```
 
-- PEFT 0.5.0
+## Citation
+```
+@article{yamaguchi2024empirical,
+  title={An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Generative {LLM} Inference}, 
+  author={Atsuki Yamaguchi and Aline Villavicencio and Nikolaos Aletras},
+  journal={ArXiv},
+  year={2024},
+  volume={abs/2402.10712},
+  url={https://arxiv.org/abs/2402.10712}
+}
+```
+
+## Link
+For more details, please visit https://github.com/gucci-j/llm-cva