Update README.md

README.md

@@ -1,25 +1,23 @@
 ---
 language: vi
 datasets:
-- cc100
+- Yuhthe/vietnews
 tags:
 - summarization
-
 license: mit
-
 widget:
-- text: "Input text."
+- text: Input text.
 ---
 
-# ViT5-large Finetuned on `vietnews` Abstractive Summarization
+# fastAbs-large Finetuned on `vietnews` Abstractive Summarization
 
 
 
 ```python
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 ​
-tokenizer = AutoTokenizer.from_pretrained("VietAI/vit5-large-vietnews-summarization")  
-model = AutoModelForSeq2SeqLM.from_pretrained("VietAI/vit5-large-vietnews-summarization")
+tokenizer = AutoTokenizer.from_pretrained("polieste/fastAbs_large")  
+model = AutoModelForSeq2SeqLM.from_pretrained("polieste/fastAbs_large")
 model.cuda()
 ​
 sentence = "Input text"
@@ -34,4 +32,4 @@ outputs = model.generate(
 for output in outputs:
     line = tokenizer.decode(output, skip_special_tokens=True, clean_up_tokenization_spaces=True)
     print(line)
-```
+```