初始化项目，由ModelHub XC社区提供模型

Model: VietAI/gpt-j-6B-vietnamese-news
Source: Original Platform

README.md

@@ -0,0 +1,39 @@
+---
+language: 
+  - vi
+tags:
+- pytorch
+- causal-lm
+- text-generation
+---
+
+# GPT-J 6B on Vietnamese News
+
+Details will be available soon.
+
+For more information, please contact anhduongng.1001@gmail.com (Dương) / imthanhlv@gmail.com (Thành) / nguyenvulebinh@gmail.com (Bình).
+
+### How to use
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("VietAI/gpt-j-6B-vietnamese-news")
+model = AutoModelForCausalLM.from_pretrained("VietAI/gpt-j-6B-vietnamese-news", low_cpu_mem_usage=True)
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu") 
+model.to(device)
+
+prompt = "Tiềm năng của trí tuệ nhân tạo" # your input sentence
+input_ids = tokenizer(prompt, return_tensors="pt")['input_ids'].to(device)
+
+gen_tokens = model.generate(
+        input_ids,
+        max_length=max_length,
+        do_sample=True,
+        temperature=0.9,
+        top_k=20,
+    )
+
+gen_text = tokenizer.batch_decode(gen_tokens)[0]
+print(gen_text)
+```