初始化项目，由ModelHub XC社区提供模型

Model: vlsp-2023-vllm/hoa-1b4
Source: Original Platform

README.md

@@ -0,0 +1,66 @@
+---
+license: bigscience-bloom-rail-1.0
+language:
+- vi
+- en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- bloom
+- causal-lm
+- pytorch
+model-index:
+- name: vlsp-2023-vllm/hoa-1b4
+  results:
+  - task:
+      name: Word prediction
+      type: text-generation
+    dataset:
+      type: vlsp-2023-vllm/vi_lambada
+      name: vi_lambada
+      split: test
+    metrics:
+    - type: Perplexity
+      value: 8.606673731963474
+  - task:
+      name: Fewshot Translation
+      type: translation
+    dataset:
+      type: vlsp-2023-vllm/en-to-vi-formal-informal-tranlations
+      name: English to Vietnamese Formal/Informal translation
+      split: test
+    metrics:
+    - type: SacreBLEU
+      value: 25.5
+datasets:
+- vlsp-2023-vllm/vi_lambada
+metrics:
+- perplexity
+---
+
+# Hoa 1B4 (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) | nv.cuong@int2.vn (Nguyễn Việt Cường)
+
+### How to use 
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("vlsp-2023-vllm/hoa-1b4")
+model = AutoModelForCausalLM.from_pretrained("vlsp-2023-vllm/hoa-1b4", 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])
+```