atsuki-yamaguchi
commited on
Commit
•
a08a16f
1
Parent(s):
7c296fc
Update README.md
Browse files
README.md
CHANGED
@@ -1,9 +1,35 @@
|
|
1 |
---
|
2 |
-
|
|
|
|
|
3 |
---
|
4 |
-
|
|
|
5 |
|
6 |
-
|
|
|
|
|
|
|
7 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
8 |
|
9 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
license: mit
|
3 |
+
language:
|
4 |
+
- sw
|
5 |
---
|
6 |
+
TigerBot-7B LAPT + Heuristics Arabic
|
7 |
+
===
|
8 |
|
9 |
+
## How to use
|
10 |
+
```python
|
11 |
+
from peft import AutoPeftModelForCausalLM
|
12 |
+
from transformers import AutoTokenizer
|
13 |
|
14 |
+
model = AutoPeftModelForCausalLM.from_pretrained(
|
15 |
+
"atsuki-yamaguchi/tigerbot-7b-base-heuristics-ar"
|
16 |
+
)
|
17 |
+
tokenizer = AutoTokenizer.from_pretrained(
|
18 |
+
"atsuki-yamaguchi/tigerbot-7b-base-heuristics-ar"
|
19 |
+
)
|
20 |
+
```
|
21 |
|
22 |
+
## Citation
|
23 |
+
```
|
24 |
+
@article{yamaguchi2024empirical,
|
25 |
+
title={An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Generative {LLM} Inference},
|
26 |
+
author={Atsuki Yamaguchi and Aline Villavicencio and Nikolaos Aletras},
|
27 |
+
journal={ArXiv},
|
28 |
+
year={2024},
|
29 |
+
volume={abs/2402.10712},
|
30 |
+
url={https://arxiv.org/abs/2402.10712}
|
31 |
+
}
|
32 |
+
```
|
33 |
+
|
34 |
+
## Link
|
35 |
+
For more details, please visit https://github.com/gucci-j/llm-cva
|