Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-language: zh
+language: en
 ---
 
 # SKEP-
@@ -13,7 +13,7 @@ SKEP propose Sentiment Knowledge Enhanced Pre-training for sentiment analysis. S
 More detail: https://aclanthology.org/2020.acl-main.374.pdf
 
 ## ⚠️ attention
-Compared with the full version of the ernie_1.0_skep_large_ch, we lost the task_embeddings part in order to adapt to the Bert framework.
+Compared with the full version of the ernie_2.0_skep_large_en, we lost the task_embeddings part in order to adapt to the Bert framework.
 
 
 
@@ -21,7 +21,7 @@ Compared with the full version of the ernie_1.0_skep_large_ch, we lost the task_
 
 |Model Name|Language|Model Structure|
 |:---:|:---:|:---:|
-|skep-ernie1-bert-large| English |Layer:24, Hidden:1024, Heads:24|
+|skep-ernie2-bert-large| English |Layer:24, Hidden:1024, Heads:24|
 
 This released pytorch model is converted from the officially released PaddlePaddle SKEP model and 
 a series of experiments have been conducted to check the accuracy of the conversion.
@@ -35,8 +35,8 @@ a series of experiments have been conducted to check the accuracy of the convers
 ## How to use
 ```Python
 from transformers import AutoTokenizer, AutoModel
-tokenizer = AutoTokenizer.from_pretrained("Yaxin/ernie_1.0_skep_large_ch")
-model = AutoModel.from_pretrained("Yaxin/ernie_1.0_skep_large_ch")
+tokenizer = AutoTokenizer.from_pretrained("Yaxin/ernie_2.0_skep_large_en")
+model = AutoModel.from_pretrained("Yaxin/ernie_2.0_skep_large_en")
 ```
 
 ## Citation