Update README.md

README.md

@@ -9,8 +9,8 @@ library_name: transformers
 
 # LLäMmlein 1B
 
-This is a German Tinyllama 1B language model trained from scratch using the 
-the [Tinyllama](https://github.com/jzhang38/TinyLlama) codebase on the German portion of [RedPajama V2](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-V2). 
+This is a German Tinyllama 1B language model trained from scratch using the [Tinyllama](https://github.com/jzhang38/TinyLlama) codebase on the German portion of [RedPajama V2](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-V2).
+Find more details on our [page](https://www.informatik.uni-wuerzburg.de/datascience/projects/nlp/llammlein/)!
 
 
 ### Usage
@@ -18,13 +18,11 @@ the [Tinyllama](https://github.com/jzhang38/TinyLlama) codebase on the German po
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model = AutoModelForCausalLM.from_pretrained("LSX-UniWue/LLaMmlein_1b")
+model = AutoModelForCausalLM.from_pretrained("LSX-UniWue/LLaMmlein_1B")
 
-tokenizer = AutoTokenizer.from_pretrained("LSX-UniWue/LLaMmlein_1b")
+tokenizer = AutoTokenizer.from_pretrained("LSX-UniWue/LLaMmlein_1B")
 ```
 
 
 ### Evaluation 
-We evaluated our results on the [Superkleber](https://lsx-uniwue.github.io/SuperGLEBer-site/) benchmark. 
-
-
+We evaluated our results on the [Superkleber](https://lsx-uniwue.github.io/SuperGLEBer-site/) benchmark.