Update README.md

README.md

@@ -3,6 +3,7 @@ datasets:
 - togethercomputer/RedPajama-Data-V2
 language:
 - de
+pipeline_tag: text-generation
 ---
 
 # German Tinyllama-120M
@@ -16,9 +17,9 @@ the [Tinyllama](https://github.com/jzhang38/TinyLlama) codebase on the German po
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model = AutoModelForCausalLM.from_pretrained("LSX-UniWue/german_tinyllama_120M")
+model = AutoModelForCausalLM.from_pretrained("LSX-UniWue/llamchen_120m")
 
-tokenizer = AutoTokenizer.from_pretrained("LSX-UniWue/german_tinyllama_120M")
+tokenizer = AutoTokenizer.from_pretrained("LSX-UniWue/llamchen_120m")
 ```
 
 
@@ -31,7 +32,4 @@ We evaluated our model on the [SuperGLEBer](https://lsx-uniwue.github.io/SuperGL
 | Classification      | DB Aspect    | micro F1 | 0.517 | 
 | Sequence Tagging    | NER Europarl | micro F1 | 0.538 | 
 | Sentence Similarity | Pawsx        | Pearson  | 0.489 | 
-| Question Answering  | MLQA         | F1       | 0.846 | 
-
-
-
+| Question Answering  | MLQA         | F1       | 0.846 |