Create README.md

README.md

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+---
+language: vi
+tags:
+- vi
+- vietnamese
+- gpt2
+- text-generation
+- lm
+- nlp
+datasets:
+- vietnews
+widget:
+- text: "Hoa quả và rau thường rẻ hơn khi vào mùa"
+---
+
+# GPT-2
+
+Pretrained gpt model on Vietnamese New
+
+# How to use the model
+
+~~~~
+import torch
+from transformers import GPT2Tokenizer, GPT2LMHeadModel
+
+tokenizer = GPT2Tokenizer.from_pretrained('minhtoan/gpt2-finetune-vietnamese-news')
+model = GPT2LMHeadModel.from_pretrained('minhtoan/gpt2-finetune-vietnamese-news')
+
+text = "Hoa quả và rau thường rẻ hơn khi vào mùa"
+input_ids = tokenizer.encode(text, return_tensors='pt')
+max_length = 80
+
+sample_outputs = model.generate(input_ids,pad_token_id=tokenizer.eos_token_id,
+                                   do_sample=True,
+                                   max_length=max_length,
+                                   min_length=max_length,
+                                   top_k=40,
+                                   num_beams=5,
+                                   early_stopping=True,
+                                   no_repeat_ngram_size=2,
+                                   num_return_sequences=3)
+
+for i, sample_output in enumerate(sample_outputs):
+    print(">> Generated text {}\n\n{}".format(i+1, tokenizer.decode(sample_output.tolist())))
+    print('\n---')
+~~~~
+
+
+## Author
+`
+Phan Minh Toan 
+`