Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 language: ja
-thumbnail: https://github.com/rinnakk/japanese-gpt2/blob/master/rinna.png
+thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
 tags:
 - ja
 - japanese
@@ -11,9 +11,9 @@ tags:
 license: mit
 datasets:
 - cc100
-- wikipedia
-widget:
-- text: "生命、宇宙、そして万物についての究極の疑問の答えは"
+- Wikipedia
+- mc4
+inference: false
 ---
 
 # japanese-gpt-neox-small
@@ -40,7 +40,7 @@ model = GPTNeoXForCausalLM.from_pretrained("rinna/japanese-gpt-neox-small")
 A 12-layer, 768-hidden-size transformer-based language model.
 
 # Training
-The model was trained on [Japanese CC-100](http://data.statmt.org/cc-100/ja.txt.xz), [Japanese C4](https://huggingface.co/datasets/c4), and [Japanese Wikipedia](https://dumps.wikimedia.org/other/cirrussearch) to optimize a traditional language modelling objective.
+The model was trained on [Japanese CC-100](http://data.statmt.org/cc-100/ja.txt.xz), [Japanese C4](https://huggingface.co/datasets/mc4), and [Japanese Wikipedia](https://dumps.wikimedia.org/other/cirrussearch) to optimize a traditional language modelling objective.
 
 # Tokenization
 The model uses a [sentencepiece](https://github.com/google/sentencepiece)-based tokenizer.