Create README.md

README.md

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+---
+license: bigscience-bloom-rail-1.0
+language:
+- vi
+- en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- bloom
+- causal-lm
+- pytorch
+---
+
+# Hoa 7B (Bloom architecture)
+
+Hoa is an autoregressive Large Language Model (LLM), based on Bloom's model architecture. 
+Hoa was trained on part of the Common Crawl dataset in Vietnamese and English.
+
+Details will be available soon.
+
+To contact us, mail to: leanhcuong@gmail.com (Lê Anh Cường) | hieunguyen1053@outlook.com (Hiếu)
+
+### How to use 
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("vlsp-2023-vllm/hoa-7b")
+model = AutoModelForCausalLM.from_pretrained("vlsp-2023-vllm/hoa-7b", low_cpu_mem_usage=True)
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu") 
+model.to(device)
+
+prompt = "Địa chỉ trường Đại học Tôn Đức Thắng nằm ở số"
+input_ids = tokenizer(prompt, return_tensors="pt")['input_ids'].to(device)
+
+gen_tokens = model.generate(input_ids, max_length=max_length, repetition_penalty=1.1)
+
+print(tokenizer.batch_decode(gen_tokens)[0])
+```
+